Overview

Dataset statistics

Number of variables817
Number of observations150000
Missing cells11650862
Missing cells (%)9.5%
Total size in memory934.4 MiB
Average record size in memory6.4 KiB

Variable types

Numeric806
Unsupported11

Alerts

Ama_rchrgmnt_sum_max_mnt1 has constant value ""Constant
sms_roam_clc_min_mnt1 has constant value ""Constant
Ama_rchrgmnt_sum_mea_mnt3 has constant value ""Constant
all_roam_clc_min_mnt3 has constant value ""Constant
pay_p2p_out_sum_max_mnt3 has constant value ""Constant
sms_roam_clc_max_mnt1 has constant value ""Constant
Ama_rchrgmnt_sum_min_mnt3 has constant value ""Constant
sms_roam_clc_mea_wk1 has constant value ""Constant
goodok_clc_max_mnt3 has constant value ""Constant
Ama_rchrgmnt_sum_mea_wk1 has constant value ""Constant
voice_in_roam_clc_min_mnt3 has constant value ""Constant
goodok_clc_std_mnt1 has constant value ""Constant
Ama_rchrgmnt_sum_std_mnt1 has constant value ""Constant
pay_p2p_in_sum_min_mnt3 has constant value ""Constant
goodok_clc_min_mnt1 has constant value ""Constant
sms_roam_clc_mea_mnt1 has constant value ""Constant
goodok_clc_mea_wk1 has constant value ""Constant
goodok_clc_td_mnt3 has constant value ""Constant
goodok_clc_mea_mnt1 has constant value ""Constant
sms_roam_clc_std_mnt1 has constant value ""Constant
goodok_clc_min_mnt3 has constant value ""Constant
sms_roam_clc_min_mnt3 has constant value ""Constant
Ama_rchrgmnt_sum_std_mnt3 has constant value ""Constant
voice_in_roam_clc_min_mnt1 has constant value ""Constant
Ama_rchrgmnt_sum_max_mnt3 has constant value ""Constant
goodok_clc_mea_mnt3 has constant value ""Constant
goodok_clc_max_mnt1 has constant value ""Constant
Ama_rchrgmnt_sum_td_mnt3 has constant value ""Constant
Ama_rchrgmnt_sum_mea_mnt1 has constant value ""Constant
Ama_rchrgmnt_sum_min_mnt1 has constant value ""Constant
goodok_clc_std_mnt3 has constant value ""Constant
all_roam_clc_min_mnt1 has constant value ""Constant
CALCULATION_METHOD_ID has constant value ""Constant
entertainment has constant value ""Constant
active_gba has constant value ""Constant
MV_Traf_Other_out_v_Min has constant value ""Constant
MV_ap_3G_d has constant value ""Constant
MV_ARPU_Other_out_v_Traf has constant value ""Constant
MV_VLR_Guest has constant value ""Constant
MV_ARPU_Other_inc_v_Traf has constant value ""Constant
MV_Traf_Cont_inc_v_Min has constant value ""Constant
MV_ot_R_sm has constant value ""Constant
MV_ap_2G_d has constant value ""Constant
MV_ap_Roam_d has constant value ""Constant
MV_ARPU_innet_inc_v_Traf has constant value ""Constant
MV_ap_inc_v has constant value ""Constant
MV_ot_inc_v has constant value ""Constant
MV_FRAUD_BLOCK has constant value ""Constant
MV_ap_Cont_v has constant value ""Constant
MV_SERV_Y_WO_AF has constant value ""Constant
MV_SERV_RLH has constant value ""Constant
bs_count_ppm_mn3 has 29454 (19.6%) missing valuesMissing
days_of_end_last_ppm has 9804 (6.5%) missing valuesMissing
days_of_last_ppm has 9804 (6.5%) missing valuesMissing
active_ppm has 9804 (6.5%) missing valuesMissing
DNZ_MEAN_days_closed_loan_year2 has 135794 (90.5%) missing valuesMissing
DNZ_MIN_days_closed_loan_year2 has 135794 (90.5%) missing valuesMissing
DNZ_DAYS_from_last_year2 has 135112 (90.1%) missing valuesMissing
DNZ_MAX_days_closed_loan_year2 has 135794 (90.5%) missing valuesMissing
DNZ_STD_days_closed_loan_year5 has 140423 (93.6%) missing valuesMissing
DNZ_MIN_days_closed_loan_year5 has 133198 (88.8%) missing valuesMissing
DNZ_COUNT_open_loan_year2 has 135112 (90.1%) missing valuesMissing
DNZ_MEAN_days_closed_loan_year5 has 133198 (88.8%) missing valuesMissing
DNZ_DAYS_from_last_year5 has 132564 (88.4%) missing valuesMissing
DNZ_MEAN_days_open_loan_year5 has 147835 (98.6%) missing valuesMissing
DNZ_COUNT_closed_loan_year5 has 132564 (88.4%) missing valuesMissing
DNZ_COUNT_closed_loan_year2 has 135112 (90.1%) missing valuesMissing
DNZ_MAX_days_closed_loan_year5 has 133198 (88.8%) missing valuesMissing
DNZ_COUNT_open_loan_year5 has 132564 (88.4%) missing valuesMissing
DNZ_MEAN_days_open_loan_year2 has 147859 (98.6%) missing valuesMissing
myvf_day_usage has 67188 (44.8%) missing valuesMissing
Fax has 149845 (99.9%) missing valuesMissing
tsoa_call_cnt has 125594 (83.7%) missing valuesMissing
tsoa_direct_cnt has 140268 (93.5%) missing valuesMissing
tsoa_mail_cnt has 149977 (> 99.9%) missing valuesMissing
SMS has 149246 (99.5%) missing valuesMissing
tsoa_chat_cnt has 145709 (97.1%) missing valuesMissing
device_sim_count has 9558 (6.4%) missing valuesMissing
device_days_usage has 7235 (4.8%) missing valuesMissing
device_has_wifi has 9558 (6.4%) missing valuesMissing
device_brand_nan has 7235 (4.8%) missing valuesMissing
device_type_tablet has 7235 (4.8%) missing valuesMissing
device_brand_xiaomi has 7235 (4.8%) missing valuesMissing
imei_mean_price has 32582 (21.7%) missing valuesMissing
device_brand_meizu has 7235 (4.8%) missing valuesMissing
imei_max_price has 32582 (21.7%) missing valuesMissing
device_has_lte has 9558 (6.4%) missing valuesMissing
device_brand_lg has 7235 (4.8%) missing valuesMissing
device_brand_samsung has 7235 (4.8%) missing valuesMissing
device_has_gprs has 150000 (100.0%) missing valuesMissing
device_brand_other has 7235 (4.8%) missing valuesMissing
device_type_nan has 7235 (4.8%) missing valuesMissing
device_type_smartphone has 7235 (4.8%) missing valuesMissing
device_type_rus_other has 7235 (4.8%) missing valuesMissing
imei_mean_day_announced has 32163 (21.4%) missing valuesMissing
device_brand_huawei has 7235 (4.8%) missing valuesMissing
device_price has 103513 (69.0%) missing valuesMissing
imei_mean_long_days_usage has 1792 (1.2%) missing valuesMissing
device_brand_apple has 7235 (4.8%) missing valuesMissing
device_width_mm has 9558 (6.4%) missing valuesMissing
device_brand_prestigio has 7235 (4.8%) missing valuesMissing
device_ios_version has 137959 (92.0%) missing valuesMissing
device_type_module has 7235 (4.8%) missing valuesMissing
device_android_version has 66736 (44.5%) missing valuesMissing
device_brand_nokia has 7235 (4.8%) missing valuesMissing
device_type_modem has 7235 (4.8%) missing valuesMissing
device_height_mm has 9558 (6.4%) missing valuesMissing
device_brand_sony has 7235 (4.8%) missing valuesMissing
device_brand_lenovo has 7235 (4.8%) missing valuesMissing
device_type_phone has 7235 (4.8%) missing valuesMissing
std_paym_6_month has 26512 (17.7%) missing valuesMissing
max_paym_6_month has 13494 (9.0%) missing valuesMissing
avg_paym_6_month has 13494 (9.0%) missing valuesMissing
count_day_for_last_paym has 13494 (9.0%) missing valuesMissing
is_max_paym has 13494 (9.0%) missing valuesMissing
cnt_paym_6_month has 13494 (9.0%) missing valuesMissing
is_avg_paym has 13494 (9.0%) missing valuesMissing
last_paym has 13494 (9.0%) missing valuesMissing
min_paym_6_month has 13494 (9.0%) missing valuesMissing
sum_paym_6_month has 13494 (9.0%) missing valuesMissing
bs_delte_omo_change_tp has 140716 (93.8%) missing valuesMissing
bs_delte_mb_change_tp has 140716 (93.8%) missing valuesMissing
bs_delte_ppm_change_tp has 140716 (93.8%) missing valuesMissing
bs_delte_ppd_change_tp has 140716 (93.8%) missing valuesMissing
bs_direct_change_tp has 140716 (93.8%) missing valuesMissing
bs_arpu_change_tp has 140716 (93.8%) missing valuesMissing
bs_day_of_change_tp has 140716 (93.8%) missing valuesMissing
bs_count_change_tp has 140716 (93.8%) missing valuesMissing
BS_OVERBUNDLE_MB_SUM_M2 has 125947 (84.0%) missing valuesMissing
BS_OVERBUNDLE_MB_CNT_M3 has 133521 (89.0%) missing valuesMissing
bs_ovrl_OMO_CNT_M2 has 47173 (31.4%) missing valuesMissing
BS_OVERBUNDLE_MB_CNT_M2 has 125947 (84.0%) missing valuesMissing
bs_ovrl_OMO_SUM_M1 has 42866 (28.6%) missing valuesMissing
BS_OVERBUNDLE_MB_SUM_M1 has 124378 (82.9%) missing valuesMissing
bs_ovrl_OMO_SUM_M3 has 45713 (30.5%) missing valuesMissing
BS_OVERBUNDLE_MB_CNT_M1 has 124378 (82.9%) missing valuesMissing
bs_ovrl_OMO_CNT_M3 has 45713 (30.5%) missing valuesMissing
bs_ovrl_OMO_SUM_M2 has 47173 (31.4%) missing valuesMissing
bs_ovrl_OMO_CNT_M1 has 42866 (28.6%) missing valuesMissing
BS_OVERBUNDLE_MB_SUM_M3 has 133521 (89.0%) missing valuesMissing
entertainment has 149994 (> 99.9%) missing valuesMissing
Food has 149989 (> 99.9%) missing valuesMissing
Shops has 149475 (99.7%) missing valuesMissing
Internet has 133810 (89.2%) missing valuesMissing
Cars has 149934 (> 99.9%) missing valuesMissing
Good_deed has 137648 (91.8%) missing valuesMissing
Minutes has 144733 (96.5%) missing valuesMissing
AMA has 146585 (97.7%) missing valuesMissing
day_end_gba has 138497 (92.3%) missing valuesMissing
active_gba has 138497 (92.3%) missing valuesMissing
bs_of_succ_m1 has 150000 (100.0%) missing valuesMissing
bs_drop_call_rate has 150000 (100.0%) missing valuesMissing
bs_succ_rate has 150000 (100.0%) missing valuesMissing
bs_drop_rate has 150000 (100.0%) missing valuesMissing
bs_of_recall_m1 has 150000 (100.0%) missing valuesMissing
bs_of_attemps_all_m1 has 150000 (100.0%) missing valuesMissing
bs_of_unsucc_low_balance_m1 has 150000 (100.0%) missing valuesMissing
bs_recall_rate has 150000 (100.0%) missing valuesMissing
bs_of_unsucc_attemp_equip_m1 has 150000 (100.0%) missing valuesMissing
bs_of_succ_but_drop_m1 has 150000 (100.0%) missing valuesMissing
MV_Traf_Cont_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_ot_mn_out_v has 41450 (27.6%) missing valuesMissing
MV_dou_Roam_v has 1713 (1.1%) missing valuesMissing
MV_ap_innet_out_v has 73850 (49.2%) missing valuesMissing
MV_ap_s has 73850 (49.2%) missing valuesMissing
MV_dou_out_s has 1713 (1.1%) missing valuesMissing
MV_ot_omo_out_v has 41450 (27.6%) missing valuesMissing
MV_ARPU_omo_out_s_Traf has 1713 (1.1%) missing valuesMissing
MV_Traf_innet_out_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_ARPU_R_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_ARPU_mn_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_ARPU_omo_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_Traf_Other_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_ap_omo_out_v has 73850 (49.2%) missing valuesMissing
MV_Traf_R_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_Traf_3G_d_Mb has 1713 (1.1%) missing valuesMissing
MV_Traf_2G_d_Mb has 1713 (1.1%) missing valuesMissing
MV_ARPU_R_out_s_Traf has 1713 (1.1%) missing valuesMissing
MV_ot_3G_d has 41450 (27.6%) missing valuesMissing
MV_dou_Roam_d has 1713 (1.1%) missing valuesMissing
MV_ARPU_Roam_d_Traf has 1713 (1.1%) missing valuesMissing
MV_ap_3G_d has 73850 (49.2%) missing valuesMissing
MV_dou_innet_out_v has 1713 (1.1%) missing valuesMissing
MV_Traf_omo_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_ARPU_Other_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_dou_net has 1713 (1.1%) missing valuesMissing
MV_Traf_Cont_out_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_VLR_Guest has 147845 (98.6%) missing valuesMissing
MV_ARPU_Other_inc_v_Traf has 1713 (1.1%) missing valuesMissing
MV_Traf_4G_d_Mb has 1713 (1.1%) missing valuesMissing
MV_ot_R_v has 41450 (27.6%) missing valuesMissing
MV_Traf_innet_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_ap_Other has 73850 (49.2%) missing valuesMissing
MV_Traf_Other_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_Traf_omo_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_Traf_pstn_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_net_total has 1713 (1.1%) missing valuesMissing
MV_ot_Cont_v has 41450 (27.6%) missing valuesMissing
MV_Traf_Cont_inc_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_Traf_Cont_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_Traf_Roam_d_Mb has 1713 (1.1%) missing valuesMissing
MV_ARPU_3G_d_Traf has 1713 (1.1%) missing valuesMissing
MV_dou_4G_d has 1713 (1.1%) missing valuesMissing
MV_ARPU_4G_d_Traf has 1713 (1.1%) missing valuesMissing
MV_AP_total has 73850 (49.2%) missing valuesMissing
MV_ot_R_sm has 41450 (27.6%) missing valuesMissing
MV_ARPU_Cont_out_s_Traf has 1713 (1.1%) missing valuesMissing
MV_ARPU_Cont_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_DOU_AP has 73850 (49.2%) missing valuesMissing
MV_ot_Unkn has 41450 (27.6%) missing valuesMissing
MV_ot_Roam_d has 41450 (27.6%) missing valuesMissing
MV_Traf_R_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_ap_2G_d has 73850 (49.2%) missing valuesMissing
MV_Traf_mn_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_dou_3G_d has 1713 (1.1%) missing valuesMissing
MV_ap_Roam_d has 73850 (49.2%) missing valuesMissing
MV_ot_4G_d has 41450 (27.6%) missing valuesMissing
MV_ARPU_pstn_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_ARPU_innet_out_s_Traf has 1713 (1.1%) missing valuesMissing
MV_ARPU_mn_out_s_Traf has 1713 (1.1%) missing valuesMissing
MV_Traf_inc_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_Traf_mn_out_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_ARPU_innet_inc_v_Traf has 1713 (1.1%) missing valuesMissing
MV_ap_inc_v has 73850 (49.2%) missing valuesMissing
MV_Traf_R_out_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_Traf_innet_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_ot_inc_v has 41450 (27.6%) missing valuesMissing
MV_ARPU_innet_out_v_Traf has 1713 (1.1%) missing valuesMissing
MV_ot_pstn_out_v has 41450 (27.6%) missing valuesMissing
MV_dou_data has 1713 (1.1%) missing valuesMissing
MV_dou_mn_out_v has 1713 (1.1%) missing valuesMissing
MV_ot_s has 41450 (27.6%) missing valuesMissing
MV_ap_pstn_out_v has 73850 (49.2%) missing valuesMissing
MV_FRAUD_BLOCK has 149998 (> 99.9%) missing valuesMissing
MV_dou_omo_out_v has 1713 (1.1%) missing valuesMissing
MV_ARPU_inc_s_Traf has 1713 (1.1%) missing valuesMissing
MV_ap_4G_d has 73850 (49.2%) missing valuesMissing
MV_ot_innet_out_v has 41450 (27.6%) missing valuesMissing
MV_dou_Roam has 1713 (1.1%) missing valuesMissing
MV_ap_mn_out_v has 73850 (49.2%) missing valuesMissing
MV_Traf_omo_out_s_Cnt has 1713 (1.1%) missing valuesMissing
MV_dou_2G_d has 1713 (1.1%) missing valuesMissing
MV_ap_Cont_v has 73850 (49.2%) missing valuesMissing
MV_Traf_pstn_inc_v_Min has 1713 (1.1%) missing valuesMissing
MV_ARPU_R_inc_v_Traf has 1713 (1.1%) missing valuesMissing
MV_ARPU_2G_d_Traf has 1713 (1.1%) missing valuesMissing
MV_ot_Other has 41450 (27.6%) missing valuesMissing
MV_Traf_ACCA_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_Traf_mn_out_v_Min has 1713 (1.1%) missing valuesMissing
MV_DOU_OT has 41450 (27.6%) missing valuesMissing
MV_SERV_Y_WO_AF has 140970 (94.0%) missing valuesMissing
MV_SERV_RLH has 149967 (> 99.9%) missing valuesMissing
MV_DOU_PPM_VF has 72366 (48.2%) missing valuesMissing
MV_DOU_Neg_Bal has 149887 (99.9%) missing valuesMissing
MV_ot_total has 41450 (27.6%) missing valuesMissing
content_clc_mea_mnt1 is highly skewed (γ1 = 24.09499558)Skewed
pay_max_min_mnt3 is highly skewed (γ1 = -37.75619319)Skewed
voice_in_roam_clc_std_mnt1 is highly skewed (γ1 = 223.6023255)Skewed
sms_clc_min_mnt3 is highly skewed (γ1 = 155.8747122)Skewed
gprs_clc_min_mnt3 is highly skewed (γ1 = 233.4564473)Skewed
all_roam_clc_mea_mnt1 is highly skewed (γ1 = 158.0314369)Skewed
voice_in_roam_clc_mea_mnt3 is highly skewed (γ1 = 46.62854082)Skewed
voice_in_roam_clc_mea_wk1 is highly skewed (γ1 = 273.8585401)Skewed
pay_p2p_in_sum_mea_wk1 is highly skewed (γ1 = 28.03140633)Skewed
all_clc_min_mnt3 is highly skewed (γ1 = 25.74637638)Skewed
pay_p2p_out_sum_std_mnt1 is highly skewed (γ1 = 26.27368728)Skewed
pay_sum_min_mnt3 is highly skewed (γ1 = -51.08546927)Skewed
vas_clc_min_mnt3 is highly skewed (γ1 = 69.54087445)Skewed
abon_part_min_mnt3 is highly skewed (γ1 = 275.6573763)Skewed
pay_p2p_out_sum_mea_mnt1 is highly skewed (γ1 = -30.8793136)Skewed
abon_part_min_mnt1 is highly skewed (γ1 = 138.6547523)Skewed
content_clc_min_mnt1 is highly skewed (γ1 = 112.4748562)Skewed
content_clc_min_mnt3 is highly skewed (γ1 = 202.5103475)Skewed
pay_p2p_out_sum_mea_mnt3 is highly skewed (γ1 = -27.24057086)Skewed
vas_clc_min_mnt1 is highly skewed (γ1 = 21.4214821)Skewed
sms_roam_clc_max_mnt3 is highly skewed (γ1 = 77.65110006)Skewed
pay_p2p_out_sum_max_mnt1 is highly skewed (γ1 = -201.6787383)Skewed
sms_roam_clc_std_mnt3 is highly skewed (γ1 = 113.0037705)Skewed
ama_volume_min_mnt1 is highly skewed (γ1 = 40.88342269)Skewed
all_roam_clc_std_mnt1 is highly skewed (γ1 = 151.6276013)Skewed
sms_out_cnt_min_mnt1 is highly skewed (γ1 = 26.08541584)Skewed
sms_roam_clc_td_mnt3 is highly skewed (γ1 = -161.1247926)Skewed
all_home_clc_min_mnt3 is highly skewed (γ1 = 30.21274837)Skewed
voice_in_roam_clc_mea_mnt1 is highly skewed (γ1 = 223.6023255)Skewed
all_roam_clc_mea_mnt3 is highly skewed (γ1 = 37.36240083)Skewed
pay_avg_min_mnt3 is highly skewed (γ1 = -53.22499018)Skewed
all_roam_clc_mea_wk1 is highly skewed (γ1 = 240.1285789)Skewed
block_all_dur_std_mnt1 is highly skewed (γ1 = 21.18792573)Skewed
voice_in_roam_clc_std_mnt3 is highly skewed (γ1 = 41.00335908)Skewed
gprs_clc_min_mnt1 is highly skewed (γ1 = 73.41092963)Skewed
voice_in_fix_tar_dur_min_mnt3 is highly skewed (γ1 = 45.40433055)Skewed
pay_p2p_out_sum_min_mnt1 is highly skewed (γ1 = -24.07007977)Skewed
all_roam_clc_max_mnt3 is highly skewed (γ1 = 25.87050799)Skewed
sms_roam_clc_mea_mnt3 is highly skewed (γ1 = 181.0673527)Skewed
all_roam_clc_std_mnt3 is highly skewed (γ1 = 29.64706994)Skewed
all_roam_clc_td_mnt3 is highly skewed (γ1 = -45.92557492)Skewed
ama_volume_min_mnt3 is highly skewed (γ1 = -44.3505213)Skewed
sms_clc_min_mnt1 is highly skewed (γ1 = 50.89857747)Skewed
clc_no_vas_roam_min_mnt3 is highly skewed (γ1 = 27.58837365)Skewed
voice_in_roam_clc_max_mnt1 is highly skewed (γ1 = 223.6023255)Skewed
all_roam_clc_max_mnt1 is highly skewed (γ1 = 146.5303911)Skewed
content_clc_std_mnt1 is highly skewed (γ1 = 25.41851379)Skewed
content_clc_mea_wk1 is highly skewed (γ1 = 42.6741219)Skewed
pay_p2p_in_sum_min_mnt1 is highly skewed (γ1 = 387.2983346)Skewed
pay_p2p_out_sum_mea_wk1 is highly skewed (γ1 = -47.25238948)Skewed
voice_in_roam_clc_td_mnt3 is highly skewed (γ1 = -36.67202272)Skewed
content_clc_max_mnt1 is highly skewed (γ1 = 23.85306799)Skewed
voice_in_roam_clc_max_mnt3 is highly skewed (γ1 = 37.50364262)Skewed
sms_out_cnt_min_mnt3 is highly skewed (γ1 = 64.82841666)Skewed
voice_out_fix_tar_dur_min_mnt3 is highly skewed (γ1 = 47.19583109)Skewed
device_brand_prestigio is highly skewed (γ1 = 25.30020936)Skewed
device_type_module is highly skewed (γ1 = 23.88236057)Skewed
MV_dou_Roam_v is highly skewed (γ1 = 22.68534202)Skewed
MV_ARPU_R_out_v_Traf is highly skewed (γ1 = 56.9130479)Skewed
MV_Traf_R_out_v_Min is highly skewed (γ1 = 29.06385706)Skewed
MV_ARPU_R_out_s_Traf is highly skewed (γ1 = 109.2006731)Skewed
MV_ARPU_Roam_d_Traf is highly skewed (γ1 = 49.61745665)Skewed
MV_ot_R_v is highly skewed (γ1 = 95.0963348)Skewed
MV_Traf_Other_inc_v_Min is highly skewed (γ1 = 139.281333)Skewed
MV_ot_Cont_v is highly skewed (γ1 = 77.63840744)Skewed
MV_ARPU_Cont_out_v_Traf is highly skewed (γ1 = 59.03662638)Skewed
MV_ot_Unkn is highly skewed (γ1 = 62.74164909)Skewed
MV_ot_Roam_d is highly skewed (γ1 = 127.6662631)Skewed
MV_Traf_R_inc_v_Min is highly skewed (γ1 = 27.05304555)Skewed
MV_ARPU_pstn_out_v_Traf is highly skewed (γ1 = 20.10941157)Skewed
MV_Traf_R_out_s_Cnt is highly skewed (γ1 = 67.96261182)Skewed
MV_ARPU_inc_s_Traf is highly skewed (γ1 = 273.1084681)Skewed
MV_ARPU_R_inc_v_Traf is highly skewed (γ1 = 42.86983541)Skewed
MV_ot_Other is highly skewed (γ1 = 20.82167738)Skewed
abon_id has unique valuesUnique
device_has_gprs is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_of_succ_m1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_drop_call_rate is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_succ_rate is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_drop_rate is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_of_recall_m1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_of_attemps_all_m1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_of_unsucc_low_balance_m1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_recall_rate is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_of_unsucc_attemp_equip_m1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
bs_of_succ_but_drop_m1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Ama_rchrgmnt_sum_max_mnt1 has 150000 (100.0%) zerosZeros
content_clc_mea_mnt1 has 147176 (98.1%) zerosZeros
content_cnt_max_mnt1 has 2731 (1.8%) zerosZeros
voice_out_short_part_max_mnt1 has 59167 (39.4%) zerosZeros
voice_mts_in_nrest_part_std_mnt1 has 57354 (38.2%) zerosZeros
sms_roam_clc_min_mnt1 has 150000 (100.0%) zerosZeros
voice_in_cmpttrs_avg_durmin_mnt1 has 92578 (61.7%) zerosZeros
com_num_part_mea_mnt1 has 22749 (15.2%) zerosZeros
pay_avg_mea_mnt1 has 51682 (34.5%) zerosZeros
voice_out_tar_dur_std_mnt1 has 20958 (14.0%) zerosZeros
voice_out_tar_dur_min_mnt1 has 46592 (31.1%) zerosZeros
gprs_clc_mea_mnt1 has 144712 (96.5%) zerosZeros
pay_max_min_mnt3 has 149903 (99.9%) zerosZeros
voice_in_short_part_mea_mnt3 has 36795 (24.5%) zerosZeros
voice_in_roam_clc_std_mnt1 has 149997 (> 99.9%) zerosZeros
conn_out_uniq_cnt_std_mnt1 has 20971 (14.0%) zerosZeros
voice_mts_in_dwork_part_td_mnt3 has 10380 (6.9%) zerosZeros
data_3g_tar_vol_mea_mnt3 has 40297 (26.9%) zerosZeros
voice_in_fix_tar_dur_mea_mnt3 has 84304 (56.2%) zerosZeros
voice_in_tar_dur_max_mnt3 has 5291 (3.5%) zerosZeros
ks_num_part_td_mnt3 has 22039 (14.7%) zerosZeros
data_3g_dou_mea_mnt3 has 40175 (26.8%) zerosZeros
voice_mts_out_drest_partmea_mnt1 has 38438 (25.6%) zerosZeros
conn_com_part_min_mnt1 has 72906 (48.6%) zerosZeros
Ama_rchrgmnt_sum_mea_mnt3 has 150000 (100.0%) zerosZeros
voice_mts_in_dwork_part_mea_wk1 has 31767 (21.2%) zerosZeros
voice_mts_in_dwork_part_std_mnt1 has 16933 (11.3%) zerosZeros
gprs_clc_std_mnt1 has 144715 (96.5%) zerosZeros
conn_com_part_td_mnt3 has 12438 (8.3%) zerosZeros
sms_clc_min_mnt3 has 149710 (99.8%) zerosZeros
gprs_clc_mea_mnt3 has 137983 (92.0%) zerosZeros
gprs_clc_min_mnt3 has 149996 (> 99.9%) zerosZeros
voice_in_cmpttrs_avg_durmax_mnt3 has 19216 (12.8%) zerosZeros
voice_in_tar_dur_td_mnt3 has 5295 (3.5%) zerosZeros
conn_in_uniq_cnt_td_mnt3 has 5381 (3.6%) zerosZeros
voice_mts_out_nrest_partmax_mnt1 has 65828 (43.9%) zerosZeros
voice_in_tar_dur_std_mnt1 has 9018 (6.0%) zerosZeros
voice_mts_out_dwork_partmea_wk1 has 45265 (30.2%) zerosZeros
voice_out_fix_tar_dur_td_mnt3 has 110855 (73.9%) zerosZeros
all_clc_mea_mnt1 has 57764 (38.5%) zerosZeros
voice_out_cmpttrs_td_cnttd_mnt3 has 26545 (17.7%) zerosZeros
all_roam_clc_mea_mnt1 has 149991 (> 99.9%) zerosZeros
voice_in_tar_dur_std_mnt3 has 5291 (3.5%) zerosZeros
voice_in_td_cnt_max_mnt3 has 5291 (3.5%) zerosZeros
voice_out_fix_tar_dur_mea_wk1 has 142147 (94.8%) zerosZeros
conn_com_part_std_mnt3 has 12375 (8.2%) zerosZeros
voice_in_roam_clc_mea_mnt3 has 149854 (99.9%) zerosZeros
pay_p2p_in_sum_max_mnt3 has 147404 (98.3%) zerosZeros
content_cnt_mea_mnt1 has 2731 (1.8%) zerosZeros
voice_in_roam_clc_mea_wk1 has 149998 (> 99.9%) zerosZeros
com_num_part_min_mnt1 has 72906 (48.6%) zerosZeros
pay_p2p_in_sum_mea_wk1 has 149682 (99.8%) zerosZeros
all_home_clc_td_mnt3 has 55478 (37.0%) zerosZeros
voice_out_td_cnt_mea_mnt1 has 20950 (14.0%) zerosZeros
vas_clc_mea_wk1 has 129109 (86.1%) zerosZeros
com_num_part_max_mnt1 has 22749 (15.2%) zerosZeros
voice_mts_out_drest_partstd_mnt3 has 24952 (16.6%) zerosZeros
pay_sum_td_mnt3 has 27956 (18.6%) zerosZeros
pay_p2p_in_sum_std_mnt1 has 148896 (99.3%) zerosZeros
conn_out_uniq_cnt_std_mnt3 has 10697 (7.1%) zerosZeros
all_clc_min_mnt3 has 148601 (99.1%) zerosZeros
all_roam_clc_min_mnt3 has 150000 (100.0%) zerosZeros
pay_p2p_out_sum_max_mnt3 has 150000 (100.0%) zerosZeros
voice_in_cmpttrs_td_cnt_max_mnt1 has 33653 (22.4%) zerosZeros
voice_mts_out_nrest_partstd_mnt3 has 45276 (30.2%) zerosZeros
voice_in_td_cnt_mea_mnt3 has 5291 (3.5%) zerosZeros
data_3g_dou_min_mnt3 has 120427 (80.3%) zerosZeros
voice_mts_in_nrest_part_mea_wk1 has 97641 (65.1%) zerosZeros
voice_in_fix_tar_dur_max_mnt1 has 107879 (71.9%) zerosZeros
ks_num_part_mea_wk1 has 65957 (44.0%) zerosZeros
pay_p2p_out_sum_std_mnt1 has 149389 (99.6%) zerosZeros
block_all_dur_min_mnt1 has 135851 (90.6%) zerosZeros
voice_in_cmpttrs_td_cnt_max_mnt3 has 19216 (12.8%) zerosZeros
pay_sum_std_mnt1 has 51239 (34.2%) zerosZeros
abon_part_max_mnt3 has 116279 (77.5%) zerosZeros
sms_out_cnt_std_mnt3 has 90768 (60.5%) zerosZeros
sms_in_cnt_min_mnt1 has 104157 (69.4%) zerosZeros
conn_in_uniq_cnt_mea_wk1 has 15250 (10.2%) zerosZeros
pay_sum_min_mnt3 has 149892 (99.9%) zerosZeros
ama_volume_max_mnt3 has 141359 (94.2%) zerosZeros
vas_clc_min_mnt3 has 149448 (99.6%) zerosZeros
voice_in_td_cnt_std_mnt1 has 9149 (6.1%) zerosZeros
sms_roam_clc_max_mnt1 has 150000 (100.0%) zerosZeros
all_cnt_min_mnt1 has 6856 (4.6%) zerosZeros
voice_in_short_part_max_mnt1 has 69414 (46.3%) zerosZeros
accum_mts_dur_std_mnt3 has 70594 (47.1%) zerosZeros
data_3g_tv_cnt_mea_wk1 has 75001 (50.0%) zerosZeros
voice_out_td_cnt_min_mnt1 has 46592 (31.1%) zerosZeros
data_3g_tar_vol_mea_mnt1 has 52992 (35.3%) zerosZeros
voice_mts_out_nrest_partmin_mnt1 has 134286 (89.5%) zerosZeros
data_3g_dou_std_mnt3 has 43193 (28.8%) zerosZeros
voice_in_short_part_min_mnt3 has 149090 (99.4%) zerosZeros
sms_in_cnt_td_mnt3 has 17346 (11.6%) zerosZeros
voice_mts_out_dwork_partstd_mnt1 has 29835 (19.9%) zerosZeros
voice_out_short_part_mea_wk1 has 102476 (68.3%) zerosZeros
voice_in_fix_tar_dur_mea_wk1 has 132230 (88.2%) zerosZeros
block_all_dur_min_mnt3 has 135929 (90.6%) zerosZeros
pay_sum_max_mnt1 has 51230 (34.2%) zerosZeros
content_cnt_mea_wk1 has 12588 (8.4%) zerosZeros
voice_mts_out_nwork_partstd_mnt1 has 47942 (32.0%) zerosZeros
com_num_part_mea_mnt3 has 12245 (8.2%) zerosZeros
conn_out_uniq_cnt_max_mnt3 has 10613 (7.1%) zerosZeros
content_clc_mea_mnt3 has 145227 (96.8%) zerosZeros
Ama_rchrgmnt_sum_min_mnt3 has 150000 (100.0%) zerosZeros
abon_part_min_mnt3 has 149998 (> 99.9%) zerosZeros
conn_out_uniq_cnt_mea_mnt3 has 10613 (7.1%) zerosZeros
gprs_clc_std_mnt3 has 137983 (92.0%) zerosZeros
voice_out_short_part_min_mnt1 has 137813 (91.9%) zerosZeros
conn_com_part_mea_wk1 has 46323 (30.9%) zerosZeros
com_num_part_max_mnt3 has 12245 (8.2%) zerosZeros
voice_out_fix_tar_dur_max_mnt1 has 127524 (85.0%) zerosZeros
pay_p2p_out_sum_mea_mnt1 has 149389 (99.6%) zerosZeros
abon_part_min_mnt1 has 149992 (> 99.9%) zerosZeros
accum_mts_dur_min_mnt1 has 124736 (83.2%) zerosZeros
content_clc_min_mnt1 has 149968 (> 99.9%) zerosZeros
voice_out_fix_tar_dur_std_mnt1 has 127529 (85.0%) zerosZeros
voice_mts_out_nwork_partmin_mnt1 has 108249 (72.2%) zerosZeros
vas_clc_max_mnt3 has 63561 (42.4%) zerosZeros
sms_roam_clc_mea_wk1 has 150000 (100.0%) zerosZeros
pay_avg_std_mnt1 has 51713 (34.5%) zerosZeros
content_clc_min_mnt3 has 149996 (> 99.9%) zerosZeros
pay_p2p_out_sum_mea_mnt3 has 148548 (99.0%) zerosZeros
data_3g_tar_vol_std_mnt1 has 52992 (35.3%) zerosZeros
vas_clc_min_mnt1 has 147445 (98.3%) zerosZeros
sms_in_cnt_mea_mnt1 has 28267 (18.8%) zerosZeros
goodok_clc_max_mnt3 has 150000 (100.0%) zerosZeros
com_num_part_td_mnt3 has 12462 (8.3%) zerosZeros
all_home_clc_mea_mnt3 has 55301 (36.9%) zerosZeros
voice_in_short_part_max_mnt3 has 36795 (24.5%) zerosZeros
pay_max_max_mnt1 has 51230 (34.2%) zerosZeros
sms_clc_std_mnt1 has 122136 (81.4%) zerosZeros
pay_max_mea_mnt1 has 51227 (34.2%) zerosZeros
accum_mts_dur_td_mnt3 has 70652 (47.1%) zerosZeros
gprs_clc_max_mnt3 has 137983 (92.0%) zerosZeros
vas_clc_mea_mnt1 has 96514 (64.3%) zerosZeros
all_clc_mea_mnt3 has 25921 (17.3%) zerosZeros
voice_in_kievstar_part_min_mnt1 has 107367 (71.6%) zerosZeros
Ama_rchrgmnt_sum_mea_wk1 has 150000 (100.0%) zerosZeros
sms_in_cnt_min_mnt3 has 141682 (94.5%) zerosZeros
voice_mts_in_drest_part_td_mnt3 has 16296 (10.9%) zerosZeros
voice_mts_in_dwork_part_min_mnt1 has 50256 (33.5%) zerosZeros
voice_in_cmpttrs_td_cnt_mea_mnt1 has 33653 (22.4%) zerosZeros
sms_roam_clc_max_mnt3 has 149939 (> 99.9%) zerosZeros
pay_max_mea_mnt3 has 25610 (17.1%) zerosZeros
gprs_clc_td_mnt3 has 138061 (92.0%) zerosZeros
ks_num_part_std_mnt1 has 37149 (24.8%) zerosZeros
voice_in_mts_avg_dur_max_mnt1 has 14018 (9.3%) zerosZeros
voice_in_td_cnt_mea_mnt1 has 9017 (6.0%) zerosZeros
voice_mts_in_drest_part_max_mnt3 has 16258 (10.8%) zerosZeros
accum_mts_dur_max_mnt3 has 86921 (57.9%) zerosZeros
pay_p2p_out_sum_max_mnt1 has 149996 (> 99.9%) zerosZeros
sms_roam_clc_std_mnt3 has 149939 (> 99.9%) zerosZeros
voice_out_cmpttrs_td_cntmin_mnt3 has 120988 (80.7%) zerosZeros
voice_out_cmpttrs_avg_dumax_mnt1 has 42377 (28.3%) zerosZeros
voice_mts_in_nrest_part_mea_mnt3 has 36476 (24.3%) zerosZeros
voice_out_tar_dur_max_mnt1 has 20950 (14.0%) zerosZeros
voice_mts_in_drest_part_std_mnt1 has 27025 (18.0%) zerosZeros
clc_no_vas_roam_std_mnt3 has 37928 (25.3%) zerosZeros
non_accum_internet_vol_mea_wk1 has 40165 (26.8%) zerosZeros
voice_mts_out_nwork_partmea_mnt1 has 47941 (32.0%) zerosZeros
voice_mts_in_nrest_part_min_mnt1 has 132737 (88.5%) zerosZeros
data_3g_dou_td_mnt3 has 44133 (29.4%) zerosZeros
voice_out_cmpttrs_avg_dustd_mnt3 has 25723 (17.1%) zerosZeros
voice_in_roam_clc_min_mnt3 has 150000 (100.0%) zerosZeros
ama_volume_min_mnt1 has 149924 (99.9%) zerosZeros
ama_volume_td_mnt3 has 141374 (94.2%) zerosZeros
voice_in_td_cnt_max_mnt1 has 9017 (6.0%) zerosZeros
sms_clc_std_mnt3 has 100125 (66.8%) zerosZeros
voice_in_kievstar_part_std_mnt3 has 27871 (18.6%) zerosZeros
gprs_tar_vol_td_mnt3 has 44034 (29.4%) zerosZeros
accum_mts_dur_mea_mnt3 has 70594 (47.1%) zerosZeros
goodok_clc_std_mnt1 has 150000 (100.0%) zerosZeros
voice_in_fix_tar_dur_mea_mnt1 has 107879 (71.9%) zerosZeros
conn_in_uniq_cnt_max_mnt1 has 7683 (5.1%) zerosZeros
pay_sum_std_mnt3 has 25610 (17.1%) zerosZeros
pay_max_mea_wk1 has 120001 (80.0%) zerosZeros
vas_clc_td_mnt3 has 64064 (42.7%) zerosZeros
all_home_clc_mea_mnt1 has 89709 (59.8%) zerosZeros
voice_in_cmpttrs_td_cnt_std_mnt1 has 33993 (22.7%) zerosZeros
accum_oth_dur_min_mnt3 has 128608 (85.7%) zerosZeros
sms_in_cnt_mea_mnt3 has 16251 (10.8%) zerosZeros
voice_out_short_part_mea_mnt3 has 32582 (21.7%) zerosZeros
data_3g_tar_vol_std_mnt3 has 40297 (26.9%) zerosZeros
sms_out_cnt_mea_mnt1 has 115713 (77.1%) zerosZeros
voice_out_short_part_td_mnt3 has 32650 (21.8%) zerosZeros
pay_p2p_out_sum_std_mnt3 has 148548 (99.0%) zerosZeros
content_cnt_td_mnt3 has 1652 (1.1%) zerosZeros
gprs_tar_vol_mea_wk1 has 90171 (60.1%) zerosZeros
com_num_part_min_mnt3 has 97662 (65.1%) zerosZeros
conn_out_uniq_cnt_mea_mnt1 has 19868 (13.2%) zerosZeros
pay_p2p_in_sum_std_mnt3 has 147404 (98.3%) zerosZeros
voice_mts_in_nwork_part_td_mnt3 has 23216 (15.5%) zerosZeros
vas_clc_max_mnt1 has 96514 (64.3%) zerosZeros
voice_in_cmpttrs_avg_durmea_mnt1 has 33653 (22.4%) zerosZeros
voice_mts_out_nrest_partmea_mnt3 has 45276 (30.2%) zerosZeros
non_accum_internet_vol_min_mnt1 has 50897 (33.9%) zerosZeros
pay_sum_mea_mnt3 has 25610 (17.1%) zerosZeros
Ama_rchrgmnt_sum_std_mnt1 has 150000 (100.0%) zerosZeros
content_cnt_std_mnt1 has 2745 (1.8%) zerosZeros
voice_out_cmpttrs_td_cntmea_mnt1 has 42377 (28.3%) zerosZeros
voice_in_cmpttrs_avg_durmin_mnt3 has 116857 (77.9%) zerosZeros
conn_in_uniq_cnt_min_mnt1 has 26362 (17.6%) zerosZeros
voice_in_tar_dur_mea_mnt3 has 5291 (3.5%) zerosZeros
conn_out_uniq_cnt_mea_wk1 has 31556 (21.0%) zerosZeros
voice_out_td_cnt_max_mnt1 has 20950 (14.0%) zerosZeros
voice_in_fix_tar_dur_std_mnt3 has 84304 (56.2%) zerosZeros
voice_out_fix_tar_dur_mea_mnt1 has 127524 (85.0%) zerosZeros
all_roam_clc_std_mnt1 has 149991 (> 99.9%) zerosZeros
data_3g_tv_cnt_std_mnt3 has 40297 (26.9%) zerosZeros
voice_mts_out_drest_partmin_mnt1 has 92252 (61.5%) zerosZeros
voice_mts_out_dwork_partmea_mnt3 has 18920 (12.6%) zerosZeros
voice_out_fix_tar_dur_min_mnt1 has 149382 (99.6%) zerosZeros
pay_p2p_in_sum_mea_mnt1 has 148896 (99.3%) zerosZeros
non_accum_internet_vol_std_mnt1 has 31393 (20.9%) zerosZeros
voice_out_tar_dur_max_mnt3 has 11675 (7.8%) zerosZeros
pay_p2p_in_sum_min_mnt3 has 150000 (100.0%) zerosZeros
sms_out_cnt_min_mnt1 has 147913 (98.6%) zerosZeros
voice_in_life_part_mea_mnt1 has 74955 (50.0%) zerosZeros
clc_no_vas_roam_mea_mnt1 has 74032 (49.4%) zerosZeros
goodok_clc_min_mnt1 has 150000 (100.0%) zerosZeros
sms_roam_clc_td_mnt3 has 149939 (> 99.9%) zerosZeros
voice_in_cmpttrs_avg_durmea_wk1 has 62030 (41.4%) zerosZeros
voice_out_cmpttrs_td_cntmea_wk1 has 69911 (46.6%) zerosZeros
voice_mts_out_dwork_parttd_mnt3 has 18991 (12.7%) zerosZeros
voice_out_fix_tar_dur_max_mnt3 has 110504 (73.7%) zerosZeros
voice_in_kievstar_part_td_mnt3 has 27996 (18.7%) zerosZeros
voice_mts_in_drest_part_mea_wk1 has 53123 (35.4%) zerosZeros
data_3g_dou_mea_wk1 has 74126 (49.4%) zerosZeros
voice_out_short_part_std_mnt3 has 32582 (21.7%) zerosZeros
voice_out_tar_dur_mea_wk1 has 32341 (21.6%) zerosZeros
voice_mts_out_nrest_parttd_mnt3 has 45294 (30.2%) zerosZeros
voice_mts_in_dwork_part_mea_mnt1 has 16814 (11.2%) zerosZeros
voice_in_kievstar_part_max_mnt3 has 27831 (18.6%) zerosZeros
clc_no_vas_roam_max_mnt3 has 37927 (25.3%) zerosZeros
data_3g_tar_vol_min_mnt3 has 119881 (79.9%) zerosZeros
data_3g_dou_max_mnt1 has 52766 (35.2%) zerosZeros
gprs_clc_mea_wk1 has 148328 (98.9%) zerosZeros
gprs_tar_vol_min_mnt1 has 116914 (77.9%) zerosZeros
clc_no_vas_roam_mea_mnt3 has 37927 (25.3%) zerosZeros
data_3g_dou_max_mnt3 has 40175 (26.8%) zerosZeros
voice_mts_in_nrest_part_max_mnt3 has 36476 (24.3%) zerosZeros
voice_in_kievstar_part_std_mnt1 has 45571 (30.4%) zerosZeros
voice_in_mts_avg_dur_min_mnt1 has 40085 (26.7%) zerosZeros
data_3g_tv_cnt_std_mnt1 has 53053 (35.4%) zerosZeros
all_home_clc_min_mnt3 has 148972 (99.3%) zerosZeros
all_clc_mea_wk1 has 110440 (73.6%) zerosZeros
all_clc_max_mnt1 has 57764 (38.5%) zerosZeros
voice_in_roam_clc_mea_mnt1 has 149997 (> 99.9%) zerosZeros
conn_in_uniq_cnt_max_mnt3 has 4419 (2.9%) zerosZeros
voice_out_cmpttrs_avg_dustd_mnt1 has 42858 (28.6%) zerosZeros
gprs_clc_max_mnt1 has 144712 (96.5%) zerosZeros
conn_out_uniq_cnt_td_mnt3 has 11430 (7.6%) zerosZeros
all_clc_min_mnt1 has 144046 (96.0%) zerosZeros
all_roam_clc_mea_mnt3 has 149643 (99.8%) zerosZeros
voice_in_tar_dur_mea_mnt1 has 9017 (6.0%) zerosZeros
voice_mts_in_nwork_part_min_mnt1 has 102829 (68.6%) zerosZeros
sms_out_cnt_mea_wk1 has 136875 (91.2%) zerosZeros
pay_avg_min_mnt3 has 149897 (99.9%) zerosZeros
all_roam_clc_mea_wk1 has 149997 (> 99.9%) zerosZeros
clc_no_vas_roam_min_mnt1 has 147299 (98.2%) zerosZeros
conn_out_uniq_cnt_min_mnt1 has 46017 (30.7%) zerosZeros
ks_num_part_min_mnt3 has 118063 (78.7%) zerosZeros
sms_roam_clc_mea_mnt1 has 150000 (100.0%) zerosZeros
content_clc_td_mnt3 has 145658 (97.1%) zerosZeros
voice_in_cmpttrs_td_cnt_std_mnt3 has 19217 (12.8%) zerosZeros
goodok_clc_mea_wk1 has 150000 (100.0%) zerosZeros
voice_mts_out_nwork_partmax_mnt3 has 32537 (21.7%) zerosZeros
ks_num_part_mea_mnt1 has 36888 (24.6%) zerosZeros
voice_mts_in_nrest_part_mea_mnt1 has 57354 (38.2%) zerosZeros
voice_out_short_part_max_mnt3 has 32582 (21.7%) zerosZeros
voice_mts_in_nrest_part_td_mnt3 has 36481 (24.3%) zerosZeros
voice_out_cmpttrs_td_cntstd_mnt1 has 42613 (28.4%) zerosZeros
accum_oth_dur_mea_mnt3 has 59278 (39.5%) zerosZeros
voice_mts_out_dwork_partmin_mnt1 has 63592 (42.4%) zerosZeros
conn_in_uniq_cnt_min_mnt3 has 42464 (28.3%) zerosZeros
data_3g_tv_cnt_max_mnt1 has 52992 (35.3%) zerosZeros
voice_in_fix_tar_dur_td_mnt3 has 84352 (56.2%) zerosZeros
num_act_days_std_mnt3 has 70869 (47.2%) zerosZeros
pay_p2p_in_sum_mea_mnt3 has 147404 (98.3%) zerosZeros
pay_p2p_in_sum_max_mnt1 has 148896 (99.3%) zerosZeros
voice_mts_in_nwork_part_max_mnt1 has 37180 (24.8%) zerosZeros
goodok_clc_td_mnt3 has 150000 (100.0%) zerosZeros
num_act_days_td_mnt3 has 71735 (47.8%) zerosZeros
ks_num_part_min_mnt1 has 95031 (63.4%) zerosZeros
all_home_clc_min_mnt1 has 145568 (97.0%) zerosZeros
block_all_dur_std_mnt1 has 149585 (99.7%) zerosZeros
voice_out_td_cnt_mea_wk1 has 32341 (21.6%) zerosZeros
ama_volume_std_mnt1 has 145341 (96.9%) zerosZeros
voice_in_roam_clc_std_mnt3 has 149854 (99.9%) zerosZeros
all_clc_td_mnt3 has 26507 (17.7%) zerosZeros
num_act_days_mea_wk1 has 2530 (1.7%) zerosZeros
data_3g_tar_vol_td_mnt3 has 40300 (26.9%) zerosZeros
data_3g_dou_min_mnt1 has 98223 (65.5%) zerosZeros
clc_no_vas_roam_std_mnt1 has 74073 (49.4%) zerosZeros
all_home_clc_max_mnt1 has 89709 (59.8%) zerosZeros
voice_in_fix_tar_dur_std_mnt1 has 107880 (71.9%) zerosZeros
voice_in_cmpttrs_avg_durstd_mnt1 has 33653 (22.4%) zerosZeros
voice_out_td_cnt_mea_mnt3 has 11675 (7.8%) zerosZeros
voice_in_cmpttrs_td_cnt_td_mnt3 has 20249 (13.5%) zerosZeros
goodok_clc_mea_mnt1 has 150000 (100.0%) zerosZeros
abon_part_mea_wk1 has 144184 (96.1%) zerosZeros
clc_no_vas_roam_td_mnt3 has 38882 (25.9%) zerosZeros
conn_in_uniq_cnt_std_mnt3 has 4512 (3.0%) zerosZeros
non_accum_internet_vol_max_mnt1 has 31464 (21.0%) zerosZeros
conn_out_uniq_cnt_min_mnt3 has 64537 (43.0%) zerosZeros
gprs_clc_min_mnt1 has 149954 (> 99.9%) zerosZeros
voice_mts_in_drest_part_mea_mnt1 has 27024 (18.0%) zerosZeros
sms_out_cnt_max_mnt1 has 115713 (77.1%) zerosZeros
voice_in_fix_tar_dur_min_mnt3 has 149780 (99.9%) zerosZeros
pay_sum_min_mnt1 has 149271 (99.5%) zerosZeros
abon_part_std_mnt3 has 116279 (77.5%) zerosZeros
all_home_clc_std_mnt3 has 55304 (36.9%) zerosZeros
all_home_clc_mea_wk1 has 123887 (82.6%) zerosZeros
voice_mts_out_nrest_partmax_mnt3 has 45276 (30.2%) zerosZeros
sms_out_cnt_td_mnt3 has 91489 (61.0%) zerosZeros
ama_volume_mea_mnt3 has 141356 (94.2%) zerosZeros
voice_in_mts_avg_dur_mea_mnt3 has 8647 (5.8%) zerosZeros
pay_p2p_out_sum_min_mnt1 has 149389 (99.6%) zerosZeros
voice_out_tar_dur_td_mnt3 has 11791 (7.9%) zerosZeros
voice_mts_out_nwork_partmax_mnt1 has 47941 (32.0%) zerosZeros
voice_out_cmpttrs_avg_dumea_mnt3 has 25720 (17.1%) zerosZeros
voice_mts_out_drest_partmax_mnt3 has 24952 (16.6%) zerosZeros
voice_in_short_part_min_mnt1 has 144286 (96.2%) zerosZeros
voice_mts_out_drest_partmea_mnt3 has 24952 (16.6%) zerosZeros
voice_mts_in_drest_part_min_mnt3 has 107163 (71.4%) zerosZeros
sms_out_cnt_mea_mnt3 has 90768 (60.5%) zerosZeros
voice_mts_out_dwork_partmax_mnt3 has 18920 (12.6%) zerosZeros
ks_num_part_std_mnt3 has 21882 (14.6%) zerosZeros
pay_avg_max_mnt3 has 25969 (17.3%) zerosZeros
sms_clc_max_mnt3 has 100124 (66.7%) zerosZeros
sms_clc_td_mnt3 has 100298 (66.9%) zerosZeros
voice_mts_out_drest_partmax_mnt1 has 38438 (25.6%) zerosZeros
num_act_days_std_mnt1 has 96635 (64.4%) zerosZeros
all_cnt_min_mnt3 has 14910 (9.9%) zerosZeros
voice_in_mts_avg_dur_std_mnt1 has 14026 (9.4%) zerosZeros
all_roam_clc_max_mnt3 has 149643 (99.8%) zerosZeros
voice_out_td_cnt_td_mnt3 has 11957 (8.0%) zerosZeros
sms_clc_mea_wk1 has 139667 (93.1%) zerosZeros
sms_roam_clc_std_mnt1 has 150000 (100.0%) zerosZeros
voice_in_cmpttrs_td_cnt_min_mnt1 has 92578 (61.7%) zerosZeros
clc_no_vas_roam_mea_wk1 has 121654 (81.1%) zerosZeros
voice_mts_out_drest_partmea_wk1 has 63164 (42.1%) zerosZeros
voice_in_cmpttrs_td_cnt_mea_mnt3 has 19216 (12.8%) zerosZeros
voice_out_cmpttrs_avg_dumea_wk1 has 69911 (46.6%) zerosZeros
accum_oth_dur_max_mnt3 has 62946 (42.0%) zerosZeros
sms_roam_clc_mea_mnt3 has 149939 (> 99.9%) zerosZeros
gprs_tar_vol_std_mnt3 has 43991 (29.3%) zerosZeros
voice_out_tar_dur_min_mnt3 has 65111 (43.4%) zerosZeros
all_roam_clc_std_mnt3 has 149643 (99.8%) zerosZeros
voice_in_tar_dur_min_mnt1 has 29237 (19.5%) zerosZeros
pay_avg_td_mnt3 has 28267 (18.8%) zerosZeros
voice_mts_out_dwork_partmax_mnt1 has 29717 (19.8%) zerosZeros
accum_oth_dur_mea_mnt1 has 80227 (53.5%) zerosZeros
ama_volume_mea_mnt1 has 145340 (96.9%) zerosZeros
voice_mts_out_dwork_partstd_mnt3 has 18921 (12.6%) zerosZeros
voice_mts_in_drest_part_min_mnt1 has 84309 (56.2%) zerosZeros
voice_mts_out_drest_partstd_mnt1 has 38439 (25.6%) zerosZeros
voice_mts_out_nwork_partmin_mnt3 has 131926 (88.0%) zerosZeros
voice_out_short_part_min_mnt3 has 147616 (98.4%) zerosZeros
accum_mts_dur_min_mnt3 has 118329 (78.9%) zerosZeros
conn_com_part_min_mnt3 has 97662 (65.1%) zerosZeros
content_clc_std_mnt3 has 145227 (96.8%) zerosZeros
all_roam_clc_td_mnt3 has 149643 (99.8%) zerosZeros
voice_in_td_cnt_std_mnt3 has 5291 (3.5%) zerosZeros
goodok_clc_min_mnt3 has 150000 (100.0%) zerosZeros
voice_in_life_part_min_mnt3 has 139671 (93.1%) zerosZeros
sms_in_cnt_max_mnt3 has 16251 (10.8%) zerosZeros
voice_in_cmpttrs_td_cnt_min_mnt3 has 116029 (77.4%) zerosZeros
accum_oth_dur_min_mnt1 has 116973 (78.0%) zerosZeros
voice_out_td_cnt_min_mnt3 has 65111 (43.4%) zerosZeros
gprs_tar_vol_min_mnt3 has 134988 (90.0%) zerosZeros
voice_mts_out_dwork_partmin_mnt3 has 84736 (56.5%) zerosZeros
content_cnt_min_mnt1 has 52215 (34.8%) zerosZeros
voice_mts_in_nwork_part_max_mnt3 has 23206 (15.5%) zerosZeros
pay_max_std_mnt3 has 25612 (17.1%) zerosZeros
all_clc_std_mnt1 has 57817 (38.5%) zerosZeros
data_3g_tv_cnt_min_mnt1 has 99139 (66.1%) zerosZeros
non_accum_internet_vol_td_mnt3 has 24895 (16.6%) zerosZeros
data_3g_tv_cnt_mea_mnt3 has 40297 (26.9%) zerosZeros
ama_volume_min_mnt3 has 149986 (> 99.9%) zerosZeros
ks_num_part_max_mnt1 has 36888 (24.6%) zerosZeros
voice_out_cmpttrs_avg_dutd_mnt3 has 26046 (17.4%) zerosZeros
data_3g_tar_vol_mea_wk1 has 75001 (50.0%) zerosZeros
voice_out_cmpttrs_avg_dumax_mnt3 has 25720 (17.1%) zerosZeros
voice_mts_in_nrest_part_max_mnt1 has 57354 (38.2%) zerosZeros
voice_mts_in_nrest_part_std_mnt3 has 36476 (24.3%) zerosZeros
sms_roam_clc_min_mnt3 has 150000 (100.0%) zerosZeros
sms_clc_min_mnt1 has 148614 (99.1%) zerosZeros
voice_mts_in_nrest_part_min_mnt3 has 145965 (97.3%) zerosZeros
voice_in_kievstar_part_max_mnt1 has 45146 (30.1%) zerosZeros
all_clc_max_mnt3 has 25921 (17.3%) zerosZeros
conn_in_uniq_cnt_mea_mnt1 has 7683 (5.1%) zerosZeros
clc_no_vas_roam_min_mnt3 has 149364 (99.6%) zerosZeros
Ama_rchrgmnt_sum_std_mnt3 has 150000 (100.0%) zerosZeros
voice_in_short_part_mea_wk1 has 113660 (75.8%) zerosZeros
accum_mts_dur_mea_mnt1 has 102621 (68.4%) zerosZeros
voice_mts_in_nwork_part_min_mnt3 has 129095 (86.1%) zerosZeros
ks_num_part_mea_mnt3 has 21859 (14.6%) zerosZeros
conn_in_uniq_cnt_std_mnt1 has 9493 (6.3%) zerosZeros
voice_in_cmpttrs_avg_durmea_mnt3 has 19216 (12.8%) zerosZeros
vas_clc_std_mnt3 has 63562 (42.4%) zerosZeros
voice_in_kievstar_part_min_mnt3 has 129084 (86.1%) zerosZeros
voice_mts_in_nwork_part_std_mnt1 has 37181 (24.8%) zerosZeros
voice_mts_in_dwork_part_min_mnt3 has 70356 (46.9%) zerosZeros
gprs_tar_vol_std_mnt1 has 62171 (41.4%) zerosZeros
voice_out_fix_tar_dur_std_mnt3 has 110504 (73.7%) zerosZeros
voice_mts_out_nwork_partmea_mnt3 has 32537 (21.7%) zerosZeros
voice_in_mts_avg_dur_std_mnt3 has 8647 (5.8%) zerosZeros
block_all_dur_mea_wk1 has 135821 (90.5%) zerosZeros
voice_in_life_part_mea_wk1 has 103872 (69.2%) zerosZeros
sms_in_cnt_mea_wk1 has 65022 (43.3%) zerosZeros
voice_in_kievstar_part_mea_mnt3 has 27831 (18.6%) zerosZeros
voice_mts_out_nrest_partstd_mnt1 has 65828 (43.9%) zerosZeros
content_clc_max_mnt3 has 145227 (96.8%) zerosZeros
gprs_tar_vol_mea_mnt1 has 62151 (41.4%) zerosZeros
pay_p2p_in_sum_td_mnt3 has 147417 (98.3%) zerosZeros
voice_out_td_cnt_std_mnt1 has 21035 (14.0%) zerosZeros
voice_mts_in_drest_part_mea_mnt3 has 16258 (10.8%) zerosZeros
voice_in_roam_clc_max_mnt1 has 149997 (> 99.9%) zerosZeros
data_3g_tv_cnt_mea_mnt1 has 52992 (35.3%) zerosZeros
pay_p2p_out_sum_min_mnt3 has 148548 (99.0%) zerosZeros
voice_in_cmpttrs_td_cnt_mea_wk1 has 62030 (41.4%) zerosZeros
accum_oth_dur_std_mnt3 has 59278 (39.5%) zerosZeros
ama_volume_mea_wk1 has 148355 (98.9%) zerosZeros
voice_mts_in_dwork_part_max_mnt1 has 16814 (11.2%) zerosZeros
num_act_days_min_mnt3 has 20708 (13.8%) zerosZeros
pay_avg_mea_wk1 has 120146 (80.1%) zerosZeros
data_3g_tv_cnt_max_mnt3 has 40297 (26.9%) zerosZeros
all_roam_clc_max_mnt1 has 149991 (> 99.9%) zerosZeros
voice_mts_in_dwork_part_std_mnt3 has 10291 (6.9%) zerosZeros
voice_mts_out_nwork_parttd_mnt3 has 32560 (21.7%) zerosZeros
data_3g_dou_mea_mnt1 has 52766 (35.2%) zerosZeros
non_accum_internet_vol_std_mnt3 has 24878 (16.6%) zerosZeros
content_clc_std_mnt1 has 147179 (98.1%) zerosZeros
content_clc_mea_wk1 has 149645 (99.8%) zerosZeros
pay_p2p_in_sum_min_mnt1 has 149999 (> 99.9%) zerosZeros
conn_com_part_mea_mnt3 has 12245 (8.2%) zerosZeros
voice_in_life_part_td_mnt3 has 51678 (34.5%) zerosZeros
pay_avg_std_mnt3 has 25969 (17.3%) zerosZeros
voice_in_roam_clc_min_mnt1 has 150000 (100.0%) zerosZeros
voice_out_cmpttrs_td_cntmax_mnt1 has 42377 (28.3%) zerosZeros
voice_in_short_part_mea_mnt1 has 69414 (46.3%) zerosZeros
voice_in_tar_dur_min_mnt3 has 44827 (29.9%) zerosZeros
gprs_tar_vol_max_mnt3 has 43990 (29.3%) zerosZeros
vas_clc_mea_mnt3 has 63561 (42.4%) zerosZeros
voice_out_cmpttrs_td_cntmin_mnt1 has 98250 (65.5%) zerosZeros
data_3g_tar_vol_max_mnt3 has 40297 (26.9%) zerosZeros
non_accum_internet_vol_min_mnt3 has 68829 (45.9%) zerosZeros
gprs_tar_vol_max_mnt1 has 62151 (41.4%) zerosZeros
conn_com_part_std_mnt1 has 23542 (15.7%) zerosZeros
voice_out_td_cnt_std_mnt3 has 11677 (7.8%) zerosZeros
voice_in_mts_avg_dur_td_mnt3 has 8651 (5.8%) zerosZeros
voice_out_cmpttrs_avg_dumea_mnt1 has 42377 (28.3%) zerosZeros
Ama_rchrgmnt_sum_max_mnt3 has 150000 (100.0%) zerosZeros
voice_out_cmpttrs_td_cntmea_mnt3 has 25720 (17.1%) zerosZeros
pay_p2p_out_sum_mea_wk1 has 149820 (99.9%) zerosZeros
com_num_part_mea_wk1 has 46323 (30.9%) zerosZeros
gprs_tar_vol_mea_mnt3 has 43990 (29.3%) zerosZeros
conn_in_uniq_cnt_mea_mnt3 has 4419 (2.9%) zerosZeros
voice_mts_out_nrest_partmea_wk1 has 102428 (68.3%) zerosZeros
voice_in_fix_tar_dur_min_mnt1 has 148185 (98.8%) zerosZeros
voice_in_short_part_std_mnt3 has 36795 (24.5%) zerosZeros
accum_oth_dur_std_mnt1 has 80237 (53.5%) zerosZeros
accum_mts_dur_max_mnt1 has 113330 (75.6%) zerosZeros
data_3g_tar_vol_min_mnt1 has 99139 (66.1%) zerosZeros
voice_out_cmpttrs_td_cntmax_mnt3 has 25720 (17.1%) zerosZeros
voice_in_mts_avg_dur_mea_mnt1 has 14018 (9.3%) zerosZeros
abon_part_mea_mnt1 has 131290 (87.5%) zerosZeros
vas_clc_std_mnt1 has 96579 (64.4%) zerosZeros
data_3g_tv_cnt_min_mnt3 has 119881 (79.9%) zerosZeros
pay_avg_mea_mnt3 has 25968 (17.3%) zerosZeros
abon_part_mea_mnt3 has 116279 (77.5%) zerosZeros
ks_num_part_max_mnt3 has 21859 (14.6%) zerosZeros
voice_in_mts_avg_dur_max_mnt3 has 8647 (5.8%) zerosZeros
conn_com_part_max_mnt1 has 22749 (15.2%) zerosZeros
voice_in_life_part_std_mnt3 has 51609 (34.4%) zerosZeros
goodok_clc_mea_mnt3 has 150000 (100.0%) zerosZeros
block_all_dur_mea_mnt3 has 128436 (85.6%) zerosZeros
voice_in_short_part_std_mnt1 has 69415 (46.3%) zerosZeros
accum_mts_dur_std_mnt1 has 102638 (68.4%) zerosZeros
sms_clc_mea_mnt1 has 122045 (81.4%) zerosZeros
goodok_clc_max_mnt1 has 150000 (100.0%) zerosZeros
accum_mts_dur_mea_wk1 has 123996 (82.7%) zerosZeros
abon_part_max_mnt1 has 131290 (87.5%) zerosZeros
pay_avg_max_mnt1 has 51685 (34.5%) zerosZeros
voice_in_cmpttrs_avg_durtd_mnt3 has 19225 (12.8%) zerosZeros
all_home_clc_max_mnt3 has 55301 (36.9%) zerosZeros
block_all_dur_max_mnt3 has 128436 (85.6%) zerosZeros
voice_in_kievstar_part_mea_mnt1 has 45146 (30.1%) zerosZeros
voice_mts_in_dwork_part_mea_mnt3 has 10284 (6.9%) zerosZeros
clc_no_vas_roam_max_mnt1 has 74032 (49.4%) zerosZeros
voice_out_fix_tar_dur_mea_mnt3 has 110504 (73.7%) zerosZeros
Ama_rchrgmnt_sum_td_mnt3 has 150000 (100.0%) zerosZeros
voice_in_tar_dur_max_mnt1 has 9017 (6.0%) zerosZeros
sms_out_cnt_max_mnt3 has 90768 (60.5%) zerosZeros
data_3g_tar_vol_max_mnt1 has 52992 (35.3%) zerosZeros
abon_part_std_mnt1 has 131293 (87.5%) zerosZeros
pay_max_max_mnt3 has 25611 (17.1%) zerosZeros
voice_in_life_part_std_mnt1 has 75011 (50.0%) zerosZeros
non_accum_internet_vol_max_mnt3 has 24910 (16.6%) zerosZeros
voice_in_cmpttrs_avg_durmax_mnt1 has 33653 (22.4%) zerosZeros
voice_in_td_cnt_td_mnt3 has 5647 (3.8%) zerosZeros
accum_oth_dur_mea_wk1 has 101136 (67.4%) zerosZeros
voice_in_life_part_max_mnt1 has 74955 (50.0%) zerosZeros
Ama_rchrgmnt_sum_mea_mnt1 has 150000 (100.0%) zerosZeros
block_all_dur_mea_mnt1 has 135491 (90.3%) zerosZeros
all_clc_std_mnt3 has 25923 (17.3%) zerosZeros
voice_in_kievstar_part_mea_wk1 has 76324 (50.9%) zerosZeros
voice_in_life_part_max_mnt3 has 51602 (34.4%) zerosZeros
block_all_dur_td_mnt3 has 142433 (95.0%) zerosZeros
voice_mts_in_nwork_part_mea_mnt1 has 37180 (24.8%) zerosZeros
voice_out_short_part_std_mnt1 has 59169 (39.4%) zerosZeros
voice_in_tar_dur_mea_wk1 has 17343 (11.6%) zerosZeros
all_cnt_mea_wk1 has 2433 (1.6%) zerosZeros
voice_mts_out_drest_parttd_mnt3 has 24991 (16.7%) zerosZeros
voice_in_roam_clc_td_mnt3 has 149854 (99.9%) zerosZeros
voice_mts_in_nwork_part_mea_wk1 has 69279 (46.2%) zerosZeros
voice_in_life_part_min_mnt1 has 128299 (85.5%) zerosZeros
voice_mts_in_dwork_part_max_mnt3 has 10284 (6.9%) zerosZeros
accum_oth_dur_td_mnt3 has 59354 (39.6%) zerosZeros
voice_mts_out_dwork_partmea_mnt1 has 29717 (19.8%) zerosZeros
content_cnt_min_mnt3 has 94809 (63.2%) zerosZeros
data_3g_tv_cnt_td_mnt3 has 40635 (27.1%) zerosZeros
voice_in_mts_avg_dur_mea_wk1 has 25488 (17.0%) zerosZeros
voice_mts_in_drest_part_max_mnt1 has 27024 (18.0%) zerosZeros
pay_avg_min_mnt1 has 149277 (99.5%) zerosZeros
conn_out_uniq_cnt_max_mnt1 has 19868 (13.2%) zerosZeros
voice_mts_out_nwork_partmea_wk1 has 77801 (51.9%) zerosZeros
voice_out_tar_dur_mea_mnt3 has 11675 (7.8%) zerosZeros
sms_out_cnt_std_mnt1 has 115736 (77.2%) zerosZeros
non_accum_internet_vol_mea_mnt1 has 31385 (20.9%) zerosZeros
voice_in_td_cnt_min_mnt3 has 44827 (29.9%) zerosZeros
voice_in_td_cnt_min_mnt1 has 29237 (19.5%) zerosZeros
Ama_rchrgmnt_sum_min_mnt1 has 150000 (100.0%) zerosZeros
content_clc_max_mnt1 has 147176 (98.1%) zerosZeros
num_act_days_min_mnt1 has 7076 (4.7%) zerosZeros
sms_in_cnt_max_mnt1 has 28267 (18.8%) zerosZeros
voice_in_roam_clc_max_mnt3 has 149854 (99.9%) zerosZeros
pay_sum_mea_wk1 has 120001 (80.0%) zerosZeros
voice_mts_out_nwork_partstd_mnt3 has 32537 (21.7%) zerosZeros
voice_mts_in_nwork_part_std_mnt3 has 23206 (15.5%) zerosZeros
sms_out_cnt_min_mnt3 has 149477 (99.7%) zerosZeros
pay_max_std_mnt1 has 51277 (34.2%) zerosZeros
voice_out_td_cnt_max_mnt3 has 11675 (7.8%) zerosZeros
pay_max_min_mnt1 has 149271 (99.5%) zerosZeros
pay_sum_max_mnt3 has 25611 (17.1%) zerosZeros
voice_out_cmpttrs_td_cntstd_mnt3 has 25721 (17.1%) zerosZeros
voice_in_td_cnt_mea_wk1 has 17343 (11.6%) zerosZeros
goodok_clc_std_mnt3 has 150000 (100.0%) zerosZeros
voice_in_mts_avg_dur_min_mnt3 has 58517 (39.0%) zerosZeros
voice_mts_out_nrest_partmea_mnt1 has 65828 (43.9%) zerosZeros
voice_in_fix_tar_dur_max_mnt3 has 84304 (56.2%) zerosZeros
abon_part_td_mnt3 has 116580 (77.7%) zerosZeros
all_home_clc_std_mnt1 has 89785 (59.9%) zerosZeros
voice_out_fix_tar_dur_min_mnt3 has 149897 (99.9%) zerosZeros
block_all_dur_std_mnt3 has 142433 (95.0%) zerosZeros
com_num_part_std_mnt1 has 23307 (15.5%) zerosZeros
voice_mts_in_nwork_part_mea_mnt3 has 23206 (15.5%) zerosZeros
sms_in_cnt_std_mnt1 has 28663 (19.1%) zerosZeros
voice_mts_out_drest_partmin_mnt3 has 114055 (76.0%) zerosZeros
non_accum_internet_vol_mea_mnt3 has 24878 (16.6%) zerosZeros
accum_oth_dur_max_mnt1 has 83172 (55.4%) zerosZeros
pay_p2p_out_sum_td_mnt3 has 148549 (99.0%) zerosZeros
voice_out_tar_dur_std_mnt3 has 11675 (7.8%) zerosZeros
data_3g_dou_std_mnt1 has 60234 (40.2%) zerosZeros
voice_mts_in_drest_part_std_mnt3 has 16258 (10.8%) zerosZeros
block_all_dur_max_mnt1 has 135491 (90.3%) zerosZeros
voice_in_life_part_mea_mnt3 has 51602 (34.4%) zerosZeros
pay_sum_mea_mnt1 has 51227 (34.2%) zerosZeros
voice_out_short_part_mea_mnt1 has 59167 (39.4%) zerosZeros
ama_volume_max_mnt1 has 145342 (96.9%) zerosZeros
pay_max_td_mnt3 has 28097 (18.7%) zerosZeros
voice_in_short_part_td_mnt3 has 36866 (24.6%) zerosZeros
ama_volume_std_mnt3 has 141356 (94.2%) zerosZeros
conn_com_part_mea_mnt1 has 22749 (15.2%) zerosZeros
voice_in_cmpttrs_avg_durstd_mnt3 has 19216 (12.8%) zerosZeros
voice_out_cmpttrs_avg_dumin_mnt3 has 122146 (81.4%) zerosZeros
sms_in_cnt_std_mnt3 has 16255 (10.8%) zerosZeros
voice_out_tar_dur_mea_mnt1 has 20950 (14.0%) zerosZeros
conn_com_part_max_mnt3 has 12245 (8.2%) zerosZeros
all_roam_clc_min_mnt1 has 150000 (100.0%) zerosZeros
sms_clc_mea_mnt3 has 100124 (66.7%) zerosZeros
com_num_part_std_mnt3 has 12297 (8.2%) zerosZeros
voice_out_cmpttrs_avg_dumin_mnt1 has 98250 (65.5%) zerosZeros
voice_mts_out_nrest_partmin_mnt3 has 146262 (97.5%) zerosZeros
sms_clc_max_mnt1 has 122045 (81.4%) zerosZeros
days_of_last_ppm has 3926 (2.6%) zerosZeros
active_ppm has 35207 (23.5%) zerosZeros
DNZ_MIN_days_closed_loan_year2 has 4150 (2.8%) zerosZeros
DNZ_MIN_days_closed_loan_year5 has 4915 (3.3%) zerosZeros
DNZ_COUNT_open_loan_year2 has 12747 (8.5%) zerosZeros
DNZ_COUNT_open_loan_year5 has 15271 (10.2%) zerosZeros
loc_is_obl_center has 95834 (63.9%) zerosZeros
device_sim_count has 9322 (6.2%) zerosZeros
device_has_wifi has 32658 (21.8%) zerosZeros
device_brand_nan has 140442 (93.6%) zerosZeros
device_type_tablet has 141711 (94.5%) zerosZeros
device_brand_xiaomi has 102548 (68.4%) zerosZeros
device_brand_meizu has 140842 (93.9%) zerosZeros
device_has_lte has 31133 (20.8%) zerosZeros
device_brand_lg has 142071 (94.7%) zerosZeros
device_brand_samsung has 109567 (73.0%) zerosZeros
device_brand_other has 2323 (1.5%) zerosZeros
device_type_nan has 139926 (93.3%) zerosZeros
device_type_smartphone has 25579 (17.1%) zerosZeros
device_type_rus_other has 2323 (1.5%) zerosZeros
device_brand_huawei has 134449 (89.6%) zerosZeros
device_brand_apple has 127618 (85.1%) zerosZeros
device_width_mm has 17906 (11.9%) zerosZeros
device_brand_prestigio has 142543 (95.0%) zerosZeros
device_type_module has 142516 (95.0%) zerosZeros
device_android_version has 1713 (1.1%) zerosZeros
device_brand_nokia has 131925 (87.9%) zerosZeros
device_type_modem has 141997 (94.7%) zerosZeros
device_height_mm has 17906 (11.9%) zerosZeros
device_brand_sony has 142280 (94.9%) zerosZeros
device_brand_lenovo has 141453 (94.3%) zerosZeros
device_type_phone has 122308 (81.5%) zerosZeros
std_paym_6_month has 12022 (8.0%) zerosZeros
is_max_paym has 65694 (43.8%) zerosZeros
is_avg_paym has 36624 (24.4%) zerosZeros
bs_delte_ppd_change_tp has 7283 (4.9%) zerosZeros
bs_arpu_change_tp has 7358 (4.9%) zerosZeros
BS_OVERBUNDLE_MB_SUM_M2 has 2421 (1.6%) zerosZeros
bs_ovrl_OMO_SUM_M1 has 85943 (57.3%) zerosZeros
BS_OVERBUNDLE_MB_SUM_M1 has 2687 (1.8%) zerosZeros
bs_ovrl_OMO_SUM_M3 has 90765 (60.5%) zerosZeros
bs_ovrl_OMO_SUM_M2 has 84315 (56.2%) zerosZeros
BS_OVERBUNDLE_MB_SUM_M3 has 3002 (2.0%) zerosZeros
MV_Traf_Cont_out_v_Min has 121775 (81.2%) zerosZeros
MV_ot_mn_out_v has 91728 (61.2%) zerosZeros
MV_dou_Roam_v has 147505 (98.3%) zerosZeros
MV_ap_innet_out_v has 1959 (1.3%) zerosZeros
MV_ap_s has 56828 (37.9%) zerosZeros
MV_dou_out_s has 114376 (76.3%) zerosZeros
MV_ot_omo_out_v has 80176 (53.5%) zerosZeros
MV_ARPU_omo_out_s_Traf has 135852 (90.6%) zerosZeros
MV_Traf_innet_out_s_Cnt has 125468 (83.6%) zerosZeros
MV_ARPU_R_out_v_Traf has 148174 (98.8%) zerosZeros
MV_ARPU_mn_out_v_Traf has 145844 (97.2%) zerosZeros
MV_ARPU_omo_out_v_Traf has 127068 (84.7%) zerosZeros
MV_Traf_Other_out_v_Min has 148287 (98.9%) zerosZeros
MV_ap_omo_out_v has 2194 (1.5%) zerosZeros
MV_Traf_R_out_v_Min has 147684 (98.5%) zerosZeros
MV_Traf_3G_d_Mb has 52017 (34.7%) zerosZeros
MV_Traf_2G_d_Mb has 58823 (39.2%) zerosZeros
MV_ARPU_R_out_s_Traf has 148206 (98.8%) zerosZeros
MV_ot_3G_d has 108156 (72.1%) zerosZeros
MV_dou_Roam_d has 146819 (97.9%) zerosZeros
MV_ARPU_Roam_d_Traf has 148033 (98.7%) zerosZeros
MV_ap_3G_d has 76150 (50.8%) zerosZeros
MV_dou_innet_out_v has 21397 (14.3%) zerosZeros
MV_Traf_omo_inc_v_Min has 32351 (21.6%) zerosZeros
MV_ARPU_Other_out_v_Traf has 148287 (98.9%) zerosZeros
MV_Traf_Cont_out_s_Cnt has 128606 (85.7%) zerosZeros
MV_ARPU_Other_inc_v_Traf has 148287 (98.9%) zerosZeros
MV_Traf_4G_d_Mb has 56672 (37.8%) zerosZeros
MV_ot_R_v has 108538 (72.4%) zerosZeros
MV_Traf_innet_out_v_Min has 24358 (16.2%) zerosZeros
MV_ap_Other has 75347 (50.2%) zerosZeros
MV_Traf_Other_inc_v_Min has 148256 (98.8%) zerosZeros
MV_Traf_omo_out_v_Min has 41053 (27.4%) zerosZeros
MV_Traf_pstn_out_v_Min has 126106 (84.1%) zerosZeros
MV_net_total has 79916 (53.3%) zerosZeros
MV_ot_Cont_v has 108532 (72.4%) zerosZeros
MV_Traf_Cont_inc_s_Cnt has 1794 (1.2%) zerosZeros
MV_Traf_Cont_inc_v_Min has 148287 (98.9%) zerosZeros
MV_Traf_Roam_d_Mb has 146827 (97.9%) zerosZeros
MV_ARPU_3G_d_Traf has 139017 (92.7%) zerosZeros
MV_dou_4G_d has 56424 (37.6%) zerosZeros
MV_ARPU_4G_d_Traf has 127375 (84.9%) zerosZeros
MV_ot_R_sm has 108550 (72.4%) zerosZeros
MV_ARPU_Cont_out_s_Traf has 145138 (96.8%) zerosZeros
MV_ARPU_Cont_out_v_Traf has 148117 (98.7%) zerosZeros
MV_ot_Unkn has 108508 (72.3%) zerosZeros
MV_ot_Roam_d has 108532 (72.4%) zerosZeros
MV_Traf_R_inc_v_Min has 147662 (98.4%) zerosZeros
MV_ap_2G_d has 76150 (50.8%) zerosZeros
MV_Traf_mn_inc_v_Min has 121834 (81.2%) zerosZeros
MV_dou_3G_d has 51933 (34.6%) zerosZeros
MV_ap_Roam_d has 76150 (50.8%) zerosZeros
MV_ot_4G_d has 79525 (53.0%) zerosZeros
MV_ARPU_pstn_out_v_Traf has 146706 (97.8%) zerosZeros
MV_ARPU_innet_out_s_Traf has 130989 (87.3%) zerosZeros
MV_ARPU_mn_out_s_Traf has 145075 (96.7%) zerosZeros
MV_Traf_inc_s_Cnt has 42768 (28.5%) zerosZeros
MV_Traf_mn_out_s_Cnt has 144625 (96.4%) zerosZeros
MV_ARPU_innet_inc_v_Traf has 148287 (98.9%) zerosZeros
MV_ap_inc_v has 76150 (50.8%) zerosZeros
MV_Traf_R_out_s_Cnt has 148067 (98.7%) zerosZeros
MV_Traf_innet_inc_v_Min has 13501 (9.0%) zerosZeros
MV_ot_inc_v has 108550 (72.4%) zerosZeros
MV_ARPU_innet_out_v_Traf has 120817 (80.5%) zerosZeros
MV_ot_pstn_out_v has 80176 (53.5%) zerosZeros
MV_dou_data has 30341 (20.2%) zerosZeros
MV_dou_mn_out_v has 140861 (93.9%) zerosZeros
MV_ot_s has 106138 (70.8%) zerosZeros
MV_ap_pstn_out_v has 2194 (1.5%) zerosZeros
MV_ARPU has 30228 (20.2%) zerosZeros
MV_dou_omo_out_v has 41053 (27.4%) zerosZeros
MV_ARPU_inc_s_Traf has 148285 (98.9%) zerosZeros
MV_ot_innet_out_v has 80156 (53.4%) zerosZeros
MV_dou_Roam has 146626 (97.8%) zerosZeros
MV_ap_mn_out_v has 40488 (27.0%) zerosZeros
MV_Traf_omo_out_s_Cnt has 132854 (88.6%) zerosZeros
MV_dou_2G_d has 58746 (39.2%) zerosZeros
MV_ap_Cont_v has 76150 (50.8%) zerosZeros
MV_Traf_pstn_inc_v_Min has 107959 (72.0%) zerosZeros
MV_ARPU_R_inc_v_Traf has 148134 (98.8%) zerosZeros
MV_ARPU_2G_d_Traf has 143210 (95.5%) zerosZeros
MV_ot_Other has 107412 (71.6%) zerosZeros
MV_Traf_ACCA_out_v_Min has 120276 (80.2%) zerosZeros
MV_Traf_mn_out_v_Min has 140861 (93.9%) zerosZeros
MV_Migr_To has 145505 (97.0%) zerosZeros
MV_ot_total has 77582 (51.7%) zerosZeros
target has 140414 (93.6%) zerosZeros

Reproduction

Analysis started2024-06-11 18:34:43.096997
Analysis finished2024-06-11 18:34:50.727137
Duration7.63 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Ama_rchrgmnt_sum_max_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:50.817981image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:34:50.877925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

content_clc_mea_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct305
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03365743058
Minimum0
Maximum22.842175
Zeros147176
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:50.955295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22.842175
Range22.842175
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3964729901
Coefficient of variation (CV)11.77965707
Kurtosis737.8120838
Mean0.03365743058
Median Absolute Deviation (MAD)0
Skewness24.09499558
Sum5048.614588
Variance0.1571908319
MonotonicityNot monotonic
2024-06-11T19:34:51.028341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147176
98.1%
1.032057242 1392
 
0.9%
1.109461269 366
 
0.2%
1.008748961 82
 
0.1%
1.214014526 75
 
0.1%
1.012331948 58
 
< 0.1%
1.013872843 54
 
< 0.1%
1.032064727 30
 
< 0.1%
1.335271319 26
 
< 0.1%
1.031997387 25
 
< 0.1%
Other values (295) 716
 
0.5%
ValueCountFrequency (%)
0 147176
98.1%
1.004420886 1
 
< 0.1%
1.004637947 1
 
< 0.1%
1.005561272 2
 
< 0.1%
1.006051911 1
 
< 0.1%
ValueCountFrequency (%)
22.842175 1
< 0.1%
21.30891047 1
< 0.1%
15.93229699 1
< 0.1%
15.93229294 1
< 0.1%
15.20819471 1
< 0.1%

content_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct250
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.49342402
Minimum0
Maximum64.08676193
Zeros2731
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.098756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.749901739
Q19.669720902
median11.61519305
Q313.64049984
95-th percentile16.61232692
Maximum64.08676193
Range64.08676193
Interquartile range (IQR)3.970778936

Descriptive statistics

Standard deviation3.470090096
Coefficient of variation (CV)0.30191961
Kurtosis3.091625542
Mean11.49342402
Median Absolute Deviation (MAD)2.025306787
Skewness-0.1980812275
Sum1724013.602
Variance12.04152528
MonotonicityNot monotonic
2024-06-11T19:34:51.169361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.26911687 5523
 
3.7%
9.027097853 5317
 
3.5%
10.55454345 5304
 
3.5%
11.36116158 5271
 
3.5%
11.10002615 5255
 
3.5%
11.61519305 5176
 
3.5%
9.354248899 5011
 
3.3%
9.974411855 5006
 
3.3%
6.749901739 4977
 
3.3%
10.83132398 4964
 
3.3%
Other values (240) 98196
65.5%
ValueCountFrequency (%)
0 2731
1.8%
1.480453014 298
 
0.2%
2.206948961 166
 
0.1%
2.921812056 490
 
0.3%
3.590290394 329
 
0.2%
ValueCountFrequency (%)
64.08676193 1
< 0.1%
47.63130856 1
< 0.1%
44.3958152 1
< 0.1%
43.44148144 1
< 0.1%
41.13291237 1
< 0.1%

voice_out_short_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1617
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6177087318
Minimum0
Maximum1.480453014
Zeros59167
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.236190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.001149315
Q31.005923002
95-th percentile1.049793044
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.005923002

Descriptive statistics

Standard deviation0.5007802969
Coefficient of variation (CV)0.8107061971
Kurtosis-1.772677835
Mean0.6177087318
Median Absolute Deviation (MAD)0.01790984692
Skewness-0.3980367205
Sum92656.30978
Variance0.2507809057
MonotonicityNot monotonic
2024-06-11T19:34:51.305842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59167
39.4%
1.00757098 2260
 
1.5%
1.013872843 2245
 
1.5%
1.011100838 2236
 
1.5%
1.00908403 2230
 
1.5%
1.006406835 2141
 
1.4%
1.017830633 2139
 
1.4%
1.005491992 2094
 
1.4%
1.023762432 2082
 
1.4%
1.004760016 2073
 
1.4%
Other values (1607) 71333
47.6%
ValueCountFrequency (%)
0 59167
39.4%
1.000008991 1
 
< 0.1%
1.000024387 1
 
< 0.1%
1.000030694 1
 
< 0.1%
1.000034807 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1185
0.8%
1.460713024 1
 
< 0.1%
1.437447952 1
 
< 0.1%
1.41812669 1
 
< 0.1%
1.414576473 1
 
< 0.1%

voice_mts_in_nrest_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct90100
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6244379608
Minimum0
Maximum1.207704776
Zeros57354
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.427354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000230067
Q31.003668935
95-th percentile1.035182346
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.003668935

Descriptive statistics

Standard deviation0.4917056338
Coefficient of variation (CV)0.787437127
Kurtosis-1.762511051
Mean0.6244379608
Median Absolute Deviation (MAD)0.01281648707
Skewness-0.4789157995
Sum93665.69411
Variance0.2417744303
MonotonicityNot monotonic
2024-06-11T19:34:51.501538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57354
38.2%
1.164401954 644
 
0.4%
1.00908403 15
 
< 0.1%
1.207704776 15
 
< 0.1%
1.001975959 14
 
< 0.1%
1.003675345 13
 
< 0.1%
1.001424332 11
 
< 0.1%
1.023762432 11
 
< 0.1%
1.049793044 11
 
< 0.1%
1.006406835 10
 
< 0.1%
Other values (90090) 91902
61.3%
ValueCountFrequency (%)
0 57354
38.2%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 15
< 0.1%
1.204354211 1
 
< 0.1%
1.199495822 1
 
< 0.1%
1.194904595 1
 
< 0.1%
1.19480727 1
 
< 0.1%

num_act_days_max_mnt1
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.135702229
Minimum0
Maximum5.324077125
Zeros919
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.587012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.210401996
Q15.324077125
median5.324077125
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6781989449
Coefficient of variation (CV)0.1320557374
Kurtosis26.44408866
Mean5.135702229
Median Absolute Deviation (MAD)0
Skewness-4.8233168
Sum770355.3344
Variance0.4599538089
MonotonicityNot monotonic
2024-06-11T19:34:51.648538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.324077125 132288
88.2%
4.786566308 6685
 
4.5%
4.210401996 3732
 
2.5%
3.590290394 2588
 
1.7%
2.921812056 1804
 
1.2%
2.206948961 1146
 
0.8%
0 919
 
0.6%
1.480453014 838
 
0.6%
ValueCountFrequency (%)
0 919
 
0.6%
1.480453014 838
 
0.6%
2.206948961 1146
0.8%
2.921812056 1804
1.2%
3.590290394 2588
1.7%
ValueCountFrequency (%)
5.324077125 132288
88.2%
4.786566308 6685
 
4.5%
4.210401996 3732
 
2.5%
3.590290394 2588
 
1.7%
2.921812056 1804
 
1.2%

sms_roam_clc_min_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.700989image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:34:51.754954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_cmpttrs_avg_durmin_mnt1
Real number (ℝ)

ZEROS 

Distinct15491
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.42277322
Minimum0
Maximum52.75402832
Zeros92578
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.821505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313.77502392
95-th percentile23.88305152
Maximum52.75402832
Range52.75402832
Interquartile range (IQR)13.77502392

Descriptive statistics

Standard deviation9.10290857
Coefficient of variation (CV)1.417286312
Kurtosis0.3681483647
Mean6.42277322
Median Absolute Deviation (MAD)0
Skewness1.150177952
Sum963415.9829
Variance82.86294444
MonotonicityNot monotonic
2024-06-11T19:34:51.891251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92578
61.7%
9.669720902 402
 
0.3%
8.333535892 385
 
0.3%
11.10002615 374
 
0.2%
10.26911687 373
 
0.2%
11.36116158 357
 
0.2%
9.974411855 357
 
0.2%
9.354248899 356
 
0.2%
7.578965206 346
 
0.2%
8.687248223 345
 
0.2%
Other values (15481) 54127
36.1%
ValueCountFrequency (%)
0 92578
61.7%
1.480453014 144
 
0.1%
1.839588705 2
 
< 0.1%
2.206948961 91
 
0.1%
2.3892276 1
 
< 0.1%
ValueCountFrequency (%)
52.75402832 1
< 0.1%
51.02925145 1
< 0.1%
50.70422755 1
< 0.1%
50.11069363 1
< 0.1%
49.75605323 1
< 0.1%

com_num_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct52080
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9386284084
Minimum0
Maximum2.206948961
Zeros22749
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:51.958161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.004507686
median1.038586056
Q31.132902768
95-th percentile1.353092076
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)0.1283950825

Descriptive statistics

Standard deviation0.4130417337
Coefficient of variation (CV)0.4400481916
Kurtosis1.253912106
Mean0.9386284084
Median Absolute Deviation (MAD)0.04417491885
Skewness-1.589188784
Sum140794.2613
Variance0.1706034738
MonotonicityNot monotonic
2024-06-11T19:34:52.025195image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22749
 
15.2%
1.049793044 3186
 
2.1%
1.013872843 2283
 
1.5%
1.006406835 1719
 
1.1%
1.164401954 1423
 
0.9%
1.003675345 1333
 
0.9%
1.00238048 1053
 
0.7%
1.101412779 1007
 
0.7%
1.001666435 845
 
0.6%
1.31316983 745
 
0.5%
Other values (52070) 113657
75.8%
ValueCountFrequency (%)
0 22749
15.2%
1.000007055 1
 
< 0.1%
1.000023912 1
 
< 0.1%
1.000024876 1
 
< 0.1%
1.000030694 1
 
< 0.1%
ValueCountFrequency (%)
2.206948961 4
< 0.1%
2.115247251 1
 
< 0.1%
2.023336405 7
< 0.1%
1.992680323 2
 
< 0.1%
1.946701903 1
 
< 0.1%

pay_avg_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct4836
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.062898577
Minimum-29.76860007
Maximum51.86112364
Zeros51682
Zeros (%)34.5%
Negative9
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:34:52.091247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-29.76860007
5-th percentile0
Q10
median11.61519305
Q314.32730559
95-th percentile19.17043973
Maximum51.86112364
Range81.62972372
Interquartile range (IQR)14.32730559

Descriptive statistics

Standard deviation7.441644143
Coefficient of variation (CV)0.8211108268
Kurtosis-0.8992704929
Mean9.062898577
Median Absolute Deviation (MAD)4.844059755
Skewness0.03389237793
Sum1359434.787
Variance55.37806755
MonotonicityNot monotonic
2024-06-11T19:34:52.160522image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51682
34.5%
11.61519305 8908
 
5.9%
14.32730559 8333
 
5.6%
12.79226812 7544
 
5.0%
13.33095137 5687
 
3.8%
16.45925281 5266
 
3.5%
13.0653276 4755
 
3.2%
18.55320686 3896
 
2.6%
13.84160798 3788
 
2.5%
15.65849494 2817
 
1.9%
Other values (4826) 47324
31.5%
ValueCountFrequency (%)
-29.76860007 1
< 0.1%
-25.6921398 1
< 0.1%
-18.7525776 1
< 0.1%
-15.76407571 1
< 0.1%
-13.82965574 1
< 0.1%
ValueCountFrequency (%)
51.86112364 1
< 0.1%
50.98312019 1
< 0.1%
49.65313959 1
< 0.1%
47.13594282 1
< 0.1%
46.90558567 1
< 0.1%

voice_out_tar_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct31939
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.69945714
Minimum0
Maximum124.3227182
Zeros20958
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:52.234349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135.38686726
median52.16514392
Q363.59401368
95-th percentile78.31503182
Maximum124.3227182
Range124.3227182
Interquartile range (IQR)28.20714641

Descriptive statistics

Standard deviation24.12284445
Coefficient of variation (CV)0.5165551364
Kurtosis-0.3484345422
Mean46.69945714
Median Absolute Deviation (MAD)13.23866061
Skewness-0.684595508
Sum7004918.57
Variance581.9116244
MonotonicityNot monotonic
2024-06-11T19:34:52.302382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20958
 
14.0%
12.79226812 1768
 
1.2%
17.89928393 904
 
0.6%
21.34785349 802
 
0.5%
17.54941206 460
 
0.3%
23.99960696 392
 
0.3%
26.17309696 381
 
0.3%
13.76988162 348
 
0.2%
20.82595276 314
 
0.2%
28.02437138 301
 
0.2%
Other values (31929) 123372
82.2%
ValueCountFrequency (%)
0 20958
14.0%
12.79226812 1768
 
1.2%
13.76988162 348
 
0.2%
16.30232696 139
 
0.1%
17.54941206 460
 
0.3%
ValueCountFrequency (%)
124.3227182 1
< 0.1%
120.712473 1
< 0.1%
119.425601 1
< 0.1%
118.5325136 1
< 0.1%
118.1086856 1
< 0.1%

voice_out_tar_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct771
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.97970022
Minimum0
Maximum142.5184272
Zeros46592
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:52.364958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median48.16907248
Q369.62882785
95-th percentile89.50355188
Maximum142.5184272
Range142.5184272
Interquartile range (IQR)69.62882785

Descriptive statistics

Standard deviation32.86550261
Coefficient of variation (CV)0.7828903598
Kurtosis-1.371525742
Mean41.97970022
Median Absolute Deviation (MAD)27.98643032
Skewness-0.08242832333
Sum6296955.033
Variance1080.141262
MonotonicityNot monotonic
2024-06-11T19:34:52.434533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46592
31.1%
17.89928393 3440
 
2.3%
23.99960696 2733
 
1.8%
28.02437138 2320
 
1.5%
31.0829974 2100
 
1.4%
33.57110757 1918
 
1.3%
35.67888361 1774
 
1.2%
39.14133654 1670
 
1.1%
37.51341156 1640
 
1.1%
40.60712622 1562
 
1.0%
Other values (761) 84251
56.2%
ValueCountFrequency (%)
0 46592
31.1%
17.89928393 3440
 
2.3%
23.99960696 2733
 
1.8%
28.02437138 2320
 
1.5%
31.0829974 2100
 
1.4%
ValueCountFrequency (%)
142.5184272 1
< 0.1%
141.2215184 1
< 0.1%
138.9225958 1
< 0.1%
138.8890197 1
< 0.1%
137.2949423 1
< 0.1%

gprs_clc_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct205
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09984012135
Minimum0
Maximum18.31296061
Zeros144712
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:52.503374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18.31296061
Range18.31296061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6325360429
Coefficient of variation (CV)6.335489524
Kurtosis123.3802634
Mean0.09984012135
Median Absolute Deviation (MAD)0
Skewness9.490783301
Sum14976.0182
Variance0.4001018456
MonotonicityNot monotonic
2024-06-11T19:34:52.575614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144712
96.5%
1.746290425 2824
 
1.9%
2.743301695 825
 
0.5%
3.665311256 359
 
0.2%
4.497536115 228
 
0.2%
5.251882056 116
 
0.1%
2.178075686 101
 
0.1%
5.94129843 85
 
0.1%
1.466897311 64
 
< 0.1%
1.746417877 52
 
< 0.1%
Other values (195) 634
 
0.4%
ValueCountFrequency (%)
0 144712
96.5%
1.031706254 1
 
< 0.1%
1.031885283 11
 
< 0.1%
1.109093114 1
 
< 0.1%
1.109283078 1
 
< 0.1%
ValueCountFrequency (%)
18.31296061 1
< 0.1%
18.00368917 1
< 0.1%
17.38399621 1
< 0.1%
15.7062677 1
< 0.1%
15.70625941 1
< 0.1%

pay_max_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002262797856
Minimum-47.93003263
Maximum39.64619142
Zeros149903
Zeros (%)99.9%
Negative28
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:34:52.717190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-47.93003263
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39.64619142
Range87.57622405
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4723215802
Coefficient of variation (CV)2087.334398
Kurtosis4896.59752
Mean0.0002262797856
Median Absolute Deviation (MAD)0
Skewness-37.75619319
Sum33.94196784
Variance0.2230876751
MonotonicityNot monotonic
2024-06-11T19:34:52.786539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149903
99.9%
8.687248223 6
 
< 0.1%
6.749901739 5
 
< 0.1%
10.26911687 5
 
< 0.1%
16.45925281 4
 
< 0.1%
9.354248899 4
 
< 0.1%
22.29933738 3
 
< 0.1%
4.210401996 3
 
< 0.1%
11.61519305 2
 
< 0.1%
7.578965206 2
 
< 0.1%
Other values (61) 63
 
< 0.1%
ValueCountFrequency (%)
-47.93003263 1
< 0.1%
-47.28768379 1
< 0.1%
-46.51407661 1
< 0.1%
-39.14133654 1
< 0.1%
-39.06409659 1
< 0.1%
ValueCountFrequency (%)
39.64619142 1
 
< 0.1%
24.76754894 1
 
< 0.1%
23.99960696 1
 
< 0.1%
22.29933738 3
< 0.1%
21.64152748 1
 
< 0.1%

voice_in_short_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct59835
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7553465011
Minimum0
Maximum1.244054284
Zeros36795
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:52.855993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000003138
median1.000107387
Q31.000387181
95-th percentile1.002253072
Maximum1.244054284
Range1.244054284
Interquartile range (IQR)0.0003840433591

Descriptive statistics

Standard deviation0.4306479123
Coefficient of variation (CV)0.570132928
Kurtosis-0.5984467544
Mean0.7553465011
Median Absolute Deviation (MAD)0.0002703698615
Skewness-1.183710534
Sum113301.9752
Variance0.1854576243
MonotonicityNot monotonic
2024-06-11T19:34:52.927464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36795
 
24.5%
1.001666435 1418
 
0.9%
1.000750704 1403
 
0.9%
1.000425155 1350
 
0.9%
1.000190256 1332
 
0.9%
1.006406835 1329
 
0.9%
1.000273218 1279
 
0.9%
1.000140054 1174
 
0.8%
1.000107387 1157
 
0.8%
1.000084947 1127
 
0.8%
Other values (59825) 101636
67.8%
ValueCountFrequency (%)
0 36795
24.5%
1.000000145 1
 
< 0.1%
1.000000271 1
 
< 0.1%
1.0000003 1
 
< 0.1%
1.00000033 1
 
< 0.1%
ValueCountFrequency (%)
1.244054284 1
< 0.1%
1.223354929 1
< 0.1%
1.213639557 1
< 0.1%
1.188767947 1
< 0.1%
1.18862358 1
< 0.1%

voice_in_roam_clc_std_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004027930263
Minimum0
Maximum20.13965131
Zeros149997
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:52.985487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20.13965131
Range20.13965131
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09006665831
Coefficient of variation (CV)223.605307
Kurtosis49996.6666
Mean0.0004027930263
Median Absolute Deviation (MAD)0
Skewness223.6023255
Sum60.41895394
Variance0.008112002939
MonotonicityNot monotonic
2024-06-11T19:34:53.047266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149997
> 99.9%
20.13965131 3
 
< 0.1%
ValueCountFrequency (%)
0 149997
> 99.9%
20.13965131 3
 
< 0.1%
ValueCountFrequency (%)
20.13965131 3
 
< 0.1%
0 149997
> 99.9%

conn_out_uniq_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct1293
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.251137118
Minimum0
Maximum32.05603282
Zeros20971
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:53.132536image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.356301179
median2.010130606
Q32.997163746
95-th percentile5.087233595
Maximum32.05603282
Range32.05603282
Interquartile range (IQR)1.640862567

Descriptive statistics

Standard deviation1.594739393
Coefficient of variation (CV)0.7084150408
Kurtosis9.221057821
Mean2.251137118
Median Absolute Deviation (MAD)0.8024258296
Skewness1.570989451
Sum337670.5677
Variance2.543193732
MonotonicityNot monotonic
2024-06-11T19:34:53.202883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20971
 
14.0%
1.164401954 8999
 
6.0%
1.45108808 7777
 
5.2%
1.839588705 4755
 
3.2%
1.356301179 4501
 
3.0%
1.207704776 4443
 
3.0%
1.663597369 4385
 
2.9%
1.992306409 4344
 
2.9%
1.687217756 4123
 
2.7%
1.7768194 3750
 
2.5%
Other values (1283) 81952
54.6%
ValueCountFrequency (%)
0 20971
14.0%
1.164401954 8999
6.0%
1.207704776 4443
 
3.0%
1.356301179 4501
 
3.0%
1.45108808 7777
 
5.2%
ValueCountFrequency (%)
32.05603282 1
< 0.1%
29.91022356 1
< 0.1%
29.89361796 1
< 0.1%
28.2803023 1
< 0.1%
27.11141457 1
< 0.1%

voice_mts_in_dwork_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct135748
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02983777031
Minimum-1.013328544
Maximum1.013349801
Zeros10380
Zeros (%)6.9%
Negative72051
Negative (%)48.0%
Memory size1.1 MiB
2024-06-11T19:34:53.272731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.013328544
5-th percentile-1.001608146
Q1-1.00020097
median0
Q31.000163406
95-th percentile1.001950927
Maximum1.013349801
Range2.026678345
Interquartile range (IQR)2.000364377

Descriptive statistics

Standard deviation0.9649817916
Coefficient of variation (CV)-32.34094845
Kurtosis-1.921973878
Mean-0.02983777031
Median Absolute Deviation (MAD)1.000183616
Skewness0.05968158927
Sum-4475.665547
Variance0.9311898582
MonotonicityNot monotonic
2024-06-11T19:34:53.346325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10380
 
6.9%
1.001424332 289
 
0.2%
-1.000584711 238
 
0.2%
1.00095998 230
 
0.2%
-1.001424332 228
 
0.2%
-1.00095998 227
 
0.2%
1.000300379 227
 
0.2%
-1.000300379 201
 
0.1%
1.000584711 200
 
0.1%
1.000012183 200
 
0.1%
Other values (135738) 137580
91.7%
ValueCountFrequency (%)
-1.013328544 1
< 0.1%
-1.013245349 1
< 0.1%
-1.012513301 1
< 0.1%
-1.012235806 1
< 0.1%
-1.011489609 1
< 0.1%
ValueCountFrequency (%)
1.013349801 1
< 0.1%
1.013328544 2
< 0.1%
1.013236774 1
< 0.1%
1.013206397 1
< 0.1%
1.013158091 1
< 0.1%

data_3g_tar_vol_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct107476
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.0712808
Minimum0
Maximum337.8422901
Zeros40297
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:53.416292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116.962203
Q3168.1279869
95-th percentile219.804075
Maximum337.8422901
Range337.8422901
Interquartile range (IQR)168.1279869

Descriptive statistics

Standard deviation80.57269079
Coefficient of variation (CV)0.7971867988
Kurtosis-1.37746045
Mean101.0712808
Median Absolute Deviation (MAD)70.5022947
Skewness-0.02773098994
Sum15160692.12
Variance6491.958501
MonotonicityNot monotonic
2024-06-11T19:34:53.487914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40297
 
26.9%
1.006406835 157
 
0.1%
1.023762432 92
 
0.1%
1.049793044 79
 
0.1%
5.988934212 79
 
0.1%
1.082760975 56
 
< 0.1%
1.121317553 49
 
< 0.1%
1.164401954 44
 
< 0.1%
1.367400612 38
 
< 0.1%
1.211169962 36
 
< 0.1%
Other values (107466) 109073
72.7%
ValueCountFrequency (%)
0 40297
26.9%
1.000010562 3
 
< 0.1%
1.000015199 2
 
< 0.1%
1.000017832 21
 
< 0.1%
1.000023726 6
 
< 0.1%
ValueCountFrequency (%)
337.8422901 1
< 0.1%
333.4003352 1
< 0.1%
324.1785788 1
< 0.1%
320.1392732 1
< 0.1%
317.5552491 1
< 0.1%

voice_in_fix_tar_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct4096
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.730971667
Minimum0
Maximum92.75332619
Zeros84304
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:53.558606image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.786566308
95-th percentile18.19894411
Maximum92.75332619
Range92.75332619
Interquartile range (IQR)4.786566308

Descriptive statistics

Standard deviation6.734929075
Coefficient of variation (CV)1.805140772
Kurtosis10.35518952
Mean3.730971667
Median Absolute Deviation (MAD)0
Skewness2.74342583
Sum559645.75
Variance45.35926964
MonotonicityNot monotonic
2024-06-11T19:34:53.626936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84304
56.2%
1.006406835 1001
 
0.7%
1.900753899 724
 
0.5%
1.839588705 720
 
0.5%
1.778610665 718
 
0.5%
1.962026024 700
 
0.5%
1.657607816 690
 
0.5%
1.717913664 663
 
0.4%
2.023336405 608
 
0.4%
1.53871075 590
 
0.4%
Other values (4086) 59282
39.5%
ValueCountFrequency (%)
0 84304
56.2%
1.006406835 1001
 
0.7%
1.00757098 6
 
< 0.1%
1.00908403 3
 
< 0.1%
1.011100838 6
 
< 0.1%
ValueCountFrequency (%)
92.75332619 1
< 0.1%
89.86167881 1
< 0.1%
86.61979474 1
< 0.1%
83.60378168 1
< 0.1%
79.79283659 1
< 0.1%

voice_in_tar_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct30532
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.59432323
Minimum0
Maximum159.2961588
Zeros5291
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:53.691885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.42550908
Q161.13863333
median76.82313801
Q389.47418324
95-th percentile105.2460405
Maximum159.2961588
Range159.2961588
Interquartile range (IQR)28.33554991

Descriptive statistics

Standard deviation24.98767391
Coefficient of variation (CV)0.3442097508
Kurtosis1.125725134
Mean72.59432323
Median Absolute Deviation (MAD)13.88963934
Skewness-1.008870232
Sum10889148.48
Variance624.3838474
MonotonicityNot monotonic
2024-06-11T19:34:53.763974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5291
 
3.5%
8.687248223 64
 
< 0.1%
13.01132535 55
 
< 0.1%
1.480453014 55
 
< 0.1%
10.55454345 54
 
< 0.1%
17.89928393 54
 
< 0.1%
9.354248899 53
 
< 0.1%
8.333535892 50
 
< 0.1%
7.964623589 49
 
< 0.1%
10.83132398 48
 
< 0.1%
Other values (30522) 144227
96.2%
ValueCountFrequency (%)
0 5291
3.5%
1.480453014 55
 
< 0.1%
2.206948961 27
 
< 0.1%
2.921812056 27
 
< 0.1%
3.590290394 26
 
< 0.1%
ValueCountFrequency (%)
159.2961588 1
< 0.1%
158.0909843 1
< 0.1%
157.0665631 1
< 0.1%
152.763029 1
< 0.1%
149.3222709 1
< 0.1%

ks_num_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct88197
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1131152793
Minimum-1.013328544
Maximum1.014056411
Zeros22039
Zeros (%)14.7%
Negative55505
Negative (%)37.0%
Memory size1.1 MiB
2024-06-11T19:34:53.836877image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.013328544
5-th percentile-1.000346478
Q1-1.000011498
median0
Q31.000053216
95-th percentile1.000940831
Maximum1.014056411
Range2.027384954
Interquartile range (IQR)2.000064714

Descriptive statistics

Standard deviation0.9169486466
Coefficient of variation (CV)8.10631996
Kurtosis-1.772370118
Mean0.1131152793
Median Absolute Deviation (MAD)1.000027364
Skewness-0.2249587053
Sum16967.2919
Variance0.8407948204
MonotonicityNot monotonic
2024-06-11T19:34:53.912557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22039
 
14.7%
1.000012183 559
 
0.4%
-1.000012183 489
 
0.3%
1.000003051 385
 
0.3%
-1.000003051 349
 
0.2%
1.000108887 340
 
0.2%
-1.000108887 288
 
0.2%
1.000027364 250
 
0.2%
1.000362834 241
 
0.2%
-1.000027364 238
 
0.2%
Other values (88187) 124822
83.2%
ValueCountFrequency (%)
-1.013328544 2
< 0.1%
-1.011482028 1
< 0.1%
-1.011248633 2
< 0.1%
-1.010917326 1
< 0.1%
-1.01073 1
< 0.1%
ValueCountFrequency (%)
1.014056411 6
< 0.1%
1.013690342 1
 
< 0.1%
1.013508907 1
 
< 0.1%
1.013328544 5
< 0.1%
1.012971038 1
 
< 0.1%

data_3g_dou_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875609604
Minimum0
Maximum5.324077125
Zeros40175
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.054345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.53871075
Q33.036661093
95-th percentile5.059834182
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)3.036661093

Descriptive statistics

Standard deviation1.621866891
Coefficient of variation (CV)0.8647145371
Kurtosis-0.7729413014
Mean1.875609604
Median Absolute Deviation (MAD)1.53871075
Skewness0.5421114561
Sum281341.4406
Variance2.630452211
MonotonicityNot monotonic
2024-06-11T19:34:54.123914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40175
26.8%
1.006406835 5001
 
3.3%
1.023762432 4218
 
2.8%
1.049793044 3392
 
2.3%
1.082760975 3201
 
2.1%
5.324077125 3018
 
2.0%
1.121317553 2751
 
1.8%
1.164401954 2676
 
1.8%
1.211169962 2576
 
1.7%
1.260942818 2358
 
1.6%
Other values (75) 80634
53.8%
ValueCountFrequency (%)
0 40175
26.8%
1.006406835 5001
 
3.3%
1.023762432 4218
 
2.8%
1.049793044 3392
 
2.3%
1.082760975 3201
 
2.1%
ValueCountFrequency (%)
5.324077125 3018
2.0%
5.280637862 1229
0.8%
5.236961704 869
 
0.6%
5.193045981 743
 
0.5%
5.148887986 631
 
0.4%

voice_mts_out_drest_partmea_mnt1
Real number (ℝ)

ZEROS 

Distinct91975
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7653093261
Minimum0
Maximum1.480453014
Zeros38438
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.190223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.010488749
Q31.032177169
95-th percentile1.078031163
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.032177169

Descriptive statistics

Standard deviation0.4500407247
Coefficient of variation (CV)0.588050752
Kurtosis-0.7601312116
Mean0.7653093261
Median Absolute Deviation (MAD)0.02246281319
Skewness-1.103557318
Sum114796.3989
Variance0.2025366539
MonotonicityNot monotonic
2024-06-11T19:34:54.261628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38438
 
25.6%
1.049793044 1868
 
1.2%
1.013872843 624
 
0.4%
1.006406835 482
 
0.3%
1.003675345 381
 
0.3%
1.00238048 332
 
0.2%
1.001666435 282
 
0.2%
1.023762432 272
 
0.2%
1.001231401 198
 
0.1%
1.000946895 192
 
0.1%
Other values (91965) 106931
71.3%
ValueCountFrequency (%)
0 38438
25.6%
1.000000146 1
 
< 0.1%
1.000000149 1
 
< 0.1%
1.00000025 1
 
< 0.1%
1.000000255 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.445996071 1
< 0.1%
1.395148847 1
< 0.1%
1.38184211 1
< 0.1%
1.371518824 1
< 0.1%

conn_com_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct7739
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5491352358
Minimum0
Maximum1.480453014
Zeros72906
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.331917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000122099
Q31.019877635
95-th percentile1.226323128
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.019877635

Descriptive statistics

Standard deviation0.5394627769
Coefficient of variation (CV)0.9823860167
Kurtosis-1.887490521
Mean0.5491352358
Median Absolute Deviation (MAD)0.3999626884
Skewness0.01221216684
Sum82370.28537
Variance0.2910200877
MonotonicityNot monotonic
2024-06-11T19:34:54.404874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72906
48.6%
1.164401954 993
 
0.7%
1.082760975 977
 
0.7%
1.049793044 912
 
0.6%
1.03324115 859
 
0.6%
1.023762432 836
 
0.6%
1.480453014 790
 
0.5%
1.017830633 750
 
0.5%
1.013872843 715
 
0.5%
1.011100838 618
 
0.4%
Other values (7729) 69644
46.4%
ValueCountFrequency (%)
0 72906
48.6%
1.000002149 1
 
< 0.1%
1.000002572 1
 
< 0.1%
1.000004295 1
 
< 0.1%
1.000004655 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 790
0.5%
1.476280227 1
 
< 0.1%
1.47620348 1
 
< 0.1%
1.474729803 1
 
< 0.1%
1.473858629 1
 
< 0.1%

Ama_rchrgmnt_sum_mea_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.462389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:34:54.509683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_mts_in_dwork_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct105365
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9352591107
Minimum0
Maximum1.480453014
Zeros31767
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.568630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.003294368
median1.110211671
Q31.24559739
95-th percentile1.461823701
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.242303022

Descriptive statistics

Standard deviation0.5008331818
Coefficient of variation (CV)0.5355020615
Kurtosis-0.2483678694
Mean0.9352591107
Median Absolute Deviation (MAD)0.1117091982
Skewness-1.174954786
Sum140288.8666
Variance0.250833876
MonotonicityNot monotonic
2024-06-11T19:34:54.641446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31767
 
21.2%
1.480453014 6336
 
4.2%
1.164401954 80
 
0.1%
1.260942818 44
 
< 0.1%
1.082760975 34
 
< 0.1%
1.31316983 32
 
< 0.1%
1.113213566 30
 
< 0.1%
1.220903412 25
 
< 0.1%
1.049793044 24
 
< 0.1%
1.345493163 22
 
< 0.1%
Other values (105355) 111606
74.4%
ValueCountFrequency (%)
0 31767
21.2%
1.000000004 1
 
< 0.1%
1.000000007 1
 
< 0.1%
1.000000024 1
 
< 0.1%
1.000000054 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 6336
4.2%
1.480295305 1
 
< 0.1%
1.480285874 1
 
< 0.1%
1.48028486 1
 
< 0.1%
1.480254524 1
 
< 0.1%

voice_mts_in_dwork_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct127842
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9291947507
Minimum0
Maximum1.207704776
Zeros16933
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.713862image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.006783628
median1.023274038
Q31.05899514
95-th percentile1.15678401
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.05221151111

Descriptive statistics

Standard deviation0.3346360291
Coefficient of variation (CV)0.3601355139
Kurtosis3.745958975
Mean0.9291947507
Median Absolute Deviation (MAD)0.02041957979
Skewness-2.354008187
Sum139379.2126
Variance0.1119812719
MonotonicityNot monotonic
2024-06-11T19:34:54.785849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16933
 
11.3%
1.164401954 3517
 
2.3%
1.207704776 1060
 
0.7%
1.049793044 17
 
< 0.1%
1.153015916 17
 
< 0.1%
1.149163881 11
 
< 0.1%
1.023762432 9
 
< 0.1%
1.013872843 8
 
< 0.1%
1.149479433 8
 
< 0.1%
1.156994549 8
 
< 0.1%
Other values (127832) 128412
85.6%
ValueCountFrequency (%)
0 16933
11.3%
1.000000002 1
 
< 0.1%
1.000000012 1
 
< 0.1%
1.00000004 1
 
< 0.1%
1.000000099 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 1060
0.7%
1.20729901 1
 
< 0.1%
1.207259983 1
 
< 0.1%
1.207103233 1
 
< 0.1%
1.207103016 1
 
< 0.1%

gprs_clc_std_mnt1
Real number (ℝ)

ZEROS 

Distinct290
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1443669725
Minimum0
Maximum24.48569652
Zeros144715
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:54.854592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24.48569652
Range24.48569652
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8680807838
Coefficient of variation (CV)6.013015087
Kurtosis87.46957125
Mean0.1443669725
Median Absolute Deviation (MAD)0
Skewness8.137811016
Sum21655.04588
Variance0.7535642472
MonotonicityNot monotonic
2024-06-11T19:34:54.926350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144715
96.5%
2.743301695 2837
 
1.9%
4.497536115 677
 
0.5%
5.94129843 230
 
0.2%
3.038469295 149
 
0.1%
7.165976416 146
 
0.1%
4.361696972 96
 
0.1%
2.178222331 66
 
< 0.1%
8.233113638 58
 
< 0.1%
3.539409262 56
 
< 0.1%
Other values (280) 970
 
0.6%
ValueCountFrequency (%)
0 144715
96.5%
1.108346208 1
 
< 0.1%
1.108915123 11
 
< 0.1%
1.334265651 1
 
< 0.1%
1.334784626 1
 
< 0.1%
ValueCountFrequency (%)
24.48569652 1
< 0.1%
21.40474878 1
< 0.1%
20.85009955 1
< 0.1%
20.01343903 1
< 0.1%
18.68473021 1
< 0.1%

conn_com_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct123078
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1121079104
Minimum-1.014056411
Maximum1.014056411
Zeros12438
Zeros (%)8.3%
Negative60387
Negative (%)40.3%
Memory size1.1 MiB
2024-06-11T19:34:54.995961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.014056411
5-th percentile-1.000702339
Q1-1.000016883
median1.000000068
Q31.000080302
95-th percentile1.001719027
Maximum1.014056411
Range2.028112821
Interquartile range (IQR)2.000097184

Descriptive statistics

Standard deviation0.9515447113
Coefficient of variation (CV)8.487757088
Kurtosis-1.856781617
Mean0.1121079104
Median Absolute Deviation (MAD)0.005064464505
Skewness-0.2245263774
Sum16816.18656
Variance0.9054373375
MonotonicityNot monotonic
2024-06-11T19:34:55.070230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12438
 
8.3%
1.000012183 300
 
0.2%
1.001424332 287
 
0.2%
1.000108887 269
 
0.2%
1.00095998 267
 
0.2%
-1.000012183 238
 
0.2%
1.000300379 225
 
0.1%
-1.001424332 209
 
0.1%
1.000584711 206
 
0.1%
-1.000108887 201
 
0.1%
Other values (123068) 135360
90.2%
ValueCountFrequency (%)
-1.014056411 2
 
< 0.1%
-1.013328544 5
< 0.1%
-1.013324262 1
 
< 0.1%
-1.013151575 1
 
< 0.1%
-1.012882335 1
 
< 0.1%
ValueCountFrequency (%)
1.014056411 14
< 0.1%
1.0140281 1
 
< 0.1%
1.013972018 1
 
< 0.1%
1.013878878 1
 
< 0.1%
1.013811891 1
 
< 0.1%

sms_clc_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00490629203
Minimum0
Maximum48.06207698
Zeros149710
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:55.137593image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.06207698
Range48.06207698
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1728601452
Coefficient of variation (CV)35.23233924
Kurtosis40292.71518
Mean0.00490629203
Median Absolute Deviation (MAD)0
Skewness155.8747122
Sum735.9438046
Variance0.0298806298
MonotonicityNot monotonic
2024-06-11T19:34:55.273823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 149710
99.8%
1.604773951 79
 
0.1%
1.604273725 76
 
0.1%
2.46360592 26
 
< 0.1%
2.462595556 21
 
< 0.1%
3.280346311 12
 
< 0.1%
4.720691116 10
 
< 0.1%
4.030932259 10
 
< 0.1%
3.281747174 9
 
< 0.1%
1.021216128 6
 
< 0.1%
Other values (22) 41
 
< 0.1%
ValueCountFrequency (%)
0 149710
99.8%
1.021216128 6
 
< 0.1%
1.074404269 2
 
< 0.1%
1.109437505 1
 
< 0.1%
1.237033386 1
 
< 0.1%
ValueCountFrequency (%)
48.06207698 1
 
< 0.1%
12.11664494 1
 
< 0.1%
10.60246927 1
 
< 0.1%
5.941635442 4
< 0.1%
5.939276065 2
< 0.1%

gprs_clc_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct524
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1386325623
Minimum0
Maximum22.11876948
Zeros137983
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:55.340398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.1418941
Maximum22.11876948
Range22.11876948
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5745634213
Coefficient of variation (CV)4.14450553
Kurtosis85.78435635
Mean0.1386325623
Median Absolute Deviation (MAD)0
Skewness7.116768609
Sum20794.88435
Variance0.3301231251
MonotonicityNot monotonic
2024-06-11T19:34:55.409329image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137983
92.0%
1.1418941 5507
 
3.7%
1.422065134 1911
 
1.3%
1.746290425 936
 
0.6%
2.082028601 563
 
0.4%
2.416222213 334
 
0.2%
2.743301695 229
 
0.2%
1.252922906 195
 
0.1%
1.079958889 126
 
0.1%
3.060936734 123
 
0.1%
Other values (514) 2093
 
1.4%
ValueCountFrequency (%)
0 137983
92.0%
1.000101653 1
 
< 0.1%
1.003961884 2
 
< 0.1%
1.003984571 1
 
< 0.1%
1.003985559 28
 
< 0.1%
ValueCountFrequency (%)
22.11876948 1
< 0.1%
17.73875679 1
< 0.1%
13.23012189 1
< 0.1%
12.66106303 1
< 0.1%
12.422358 1
< 0.1%

gprs_clc_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001583117286
Minimum0
Maximum9.181785673
Zeros149996
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:55.463010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9.181785673
Range9.181785673
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03320600309
Coefficient of variation (CV)209.7507454
Kurtosis57905.64946
Mean0.0001583117286
Median Absolute Deviation (MAD)0
Skewness233.4564473
Sum23.74675929
Variance0.001102638641
MonotonicityNot monotonic
2024-06-11T19:34:55.510361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 149996
> 99.9%
3.539668309 2
 
< 0.1%
7.485636999 1
 
< 0.1%
9.181785673 1
 
< 0.1%
ValueCountFrequency (%)
0 149996
> 99.9%
3.539668309 2
 
< 0.1%
7.485636999 1
 
< 0.1%
9.181785673 1
 
< 0.1%
ValueCountFrequency (%)
9.181785673 1
 
< 0.1%
7.485636999 1
 
< 0.1%
3.539668309 2
 
< 0.1%
0 149996
> 99.9%

voice_in_cmpttrs_avg_durmax_mnt3
Real number (ℝ)

ZEROS 

Distinct28483
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.58778497
Minimum0
Maximum72.26558726
Zeros19216
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:55.569393image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.40034972
median30.29798707
Q339.67434205
95-th percentile50.7408742
Maximum72.26558726
Range72.26558726
Interquartile range (IQR)19.27399233

Descriptive statistics

Standard deviation15.10969288
Coefficient of variation (CV)0.5285366772
Kurtosis-0.5203582046
Mean28.58778497
Median Absolute Deviation (MAD)9.612918293
Skewness-0.4599151631
Sum4288167.745
Variance228.3028188
MonotonicityNot monotonic
2024-06-11T19:34:55.639649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19216
 
12.8%
18.80424527 193
 
0.1%
17.89928393 193
 
0.1%
16.30392399 185
 
0.1%
14.97017418 184
 
0.1%
11.36116158 184
 
0.1%
14.23203307 181
 
0.1%
14.03872817 181
 
0.1%
18.03323823 180
 
0.1%
18.55320686 180
 
0.1%
Other values (28473) 129123
86.1%
ValueCountFrequency (%)
0 19216
12.8%
1.480453014 62
 
< 0.1%
1.839588705 2
 
< 0.1%
2.206948961 49
 
< 0.1%
2.569415055 1
 
< 0.1%
ValueCountFrequency (%)
72.26558726 1
< 0.1%
70.57514612 1
< 0.1%
66.95361725 1
< 0.1%
66.68132056 1
< 0.1%
65.31418937 1
< 0.1%

voice_in_tar_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct108016
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1585990233
Minimum-93.49026871
Maximum91.51429339
Zeros5295
Zeros (%)3.5%
Negative69720
Negative (%)46.5%
Memory size1.1 MiB
2024-06-11T19:34:55.710411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-93.49026871
5-th percentile-43.66065228
Q1-24.13329254
median0
Q323.69401624
95-th percentile42.24640457
Maximum91.51429339
Range185.0045621
Interquartile range (IQR)47.82730878

Descriptive statistics

Standard deviation28.06783835
Coefficient of variation (CV)176.9735888
Kurtosis-1.011511804
Mean0.1585990233
Median Absolute Deviation (MAD)23.87983559
Skewness-0.06007238914
Sum23789.8535
Variance787.8035496
MonotonicityNot monotonic
2024-06-11T19:34:55.783301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5295
 
3.5%
-1.001424332 20
 
< 0.1%
1.021352973 19
 
< 0.1%
-1.0748555 18
 
< 0.1%
1.047934251 16
 
< 0.1%
-2.431015877 16
 
< 0.1%
1.207457957 16
 
< 0.1%
1.036270046 16
 
< 0.1%
1.002613096 16
 
< 0.1%
1.002283948 16
 
< 0.1%
Other values (108006) 144552
96.4%
ValueCountFrequency (%)
-93.49026871 1
< 0.1%
-92.0650141 1
< 0.1%
-88.68745747 1
< 0.1%
-87.29280878 1
< 0.1%
-86.03053078 1
< 0.1%
ValueCountFrequency (%)
91.51429339 1
< 0.1%
90.23622857 1
< 0.1%
86.59957126 1
< 0.1%
84.56853951 1
< 0.1%
84.47334802 1
< 0.1%

conn_in_uniq_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct1920
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1928156148
Minimum-13.13549792
Maximum11.7102286
Zeros5381
Zeros (%)3.6%
Negative60323
Negative (%)40.2%
Memory size1.1 MiB
2024-06-11T19:34:55.853371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-13.13549792
5-th percentile-1.18166954
Q1-1.009950143
median1.001181135
Q31.045499067
95-th percentile1.355111198
Maximum11.7102286
Range24.84572652
Interquartile range (IQR)2.05544921

Descriptive statistics

Standard deviation1.102626759
Coefficient of variation (CV)5.718555316
Kurtosis-0.6480646989
Mean0.1928156148
Median Absolute Deviation (MAD)0.2975288881
Skewness-0.2765631802
Sum28922.34223
Variance1.21578577
MonotonicityNot monotonic
2024-06-11T19:34:55.919897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5381
 
3.6%
1.001424332 1185
 
0.8%
1.00095998 1076
 
0.7%
1.000300379 1070
 
0.7%
1.000584711 1041
 
0.7%
1.000012183 1039
 
0.7%
1.000108887 1031
 
0.7%
-1.001424332 1013
 
0.7%
-1.000300379 979
 
0.7%
-1.000108887 972
 
0.6%
Other values (1910) 135213
90.1%
ValueCountFrequency (%)
-13.13549792 1
< 0.1%
-11.09817395 1
< 0.1%
-10.51713077 1
< 0.1%
-10.31865887 1
< 0.1%
-9.086335207 1
< 0.1%
ValueCountFrequency (%)
11.7102286 1
< 0.1%
9.871170006 1
< 0.1%
8.550452615 1
< 0.1%
8.053792845 1
< 0.1%
7.4272096 1
< 0.1%

voice_mts_out_nrest_partmax_mnt1
Real number (ℝ)

ZEROS 

Distinct13312
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.580460461
Minimum0
Maximum1.480453014
Zeros65828
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:55.983933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000528518
Q31.012100197
95-th percentile1.097577944
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.012100197

Descriptive statistics

Standard deviation0.5160738395
Coefficient of variation (CV)0.8890766454
Kurtosis-1.887441389
Mean0.580460461
Median Absolute Deviation (MAD)0.08223245686
Skewness-0.208663323
Sum87069.06915
Variance0.2663322078
MonotonicityNot monotonic
2024-06-11T19:34:56.054639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65828
43.9%
1.480453014 753
 
0.5%
1.017830633 691
 
0.5%
1.013872843 681
 
0.5%
1.023762432 672
 
0.4%
1.03324115 662
 
0.4%
1.049793044 652
 
0.4%
1.011100838 614
 
0.4%
1.00757098 593
 
0.4%
1.00908403 581
 
0.4%
Other values (13302) 78273
52.2%
ValueCountFrequency (%)
0 65828
43.9%
1.000001236 1
 
< 0.1%
1.000001379 1
 
< 0.1%
1.000001637 1
 
< 0.1%
1.000001869 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 753
0.5%
1.472113097 1
 
< 0.1%
1.471579263 1
 
< 0.1%
1.471346092 1
 
< 0.1%
1.470495757 1
 
< 0.1%

voice_in_tar_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct135787
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.47781228
Minimum0
Maximum126.2655789
Zeros9018
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:56.128339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137.22645486
median50.44439714
Q361.11774547
95-th percentile75.44029529
Maximum126.2655789
Range126.2655789
Interquartile range (IQR)23.89129061

Descriptive statistics

Standard deviation20.08690553
Coefficient of variation (CV)0.4230798464
Kurtosis0.2252817857
Mean47.47781228
Median Absolute Deviation (MAD)11.73788688
Skewness-0.6452226574
Sum7121671.842
Variance403.4837737
MonotonicityNot monotonic
2024-06-11T19:34:56.199730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9018
 
6.0%
7.174761058 56
 
< 0.1%
5.324077125 54
 
< 0.1%
5.579883184 54
 
< 0.1%
6.965059041 53
 
< 0.1%
7.578965206 52
 
< 0.1%
5.059834182 51
 
< 0.1%
4.210401996 49
 
< 0.1%
6.5289656 49
 
< 0.1%
6.068314762 48
 
< 0.1%
Other values (135777) 140516
93.7%
ValueCountFrequency (%)
0 9018
6.0%
1.164401954 39
 
< 0.1%
1.207704776 1
 
< 0.1%
1.45108808 3
 
< 0.1%
1.480453014 23
 
< 0.1%
ValueCountFrequency (%)
126.2655789 1
< 0.1%
120.3958155 1
< 0.1%
118.5041754 1
< 0.1%
118.3453933 1
< 0.1%
116.8429611 1
< 0.1%

voice_mts_out_dwork_partmea_wk1
Real number (ℝ)

ZEROS 

Distinct18976
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.829071978
Minimum0
Maximum1.480453014
Zeros45265
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:56.267467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.086169954
Q31.226027691
95-th percentile1.427619825
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.226027691

Descriptive statistics

Standard deviation0.5566286363
Coefficient of variation (CV)0.6713875888
Kurtosis-1.272965752
Mean0.829071978
Median Absolute Deviation (MAD)0.174772864
Skewness-0.7259994029
Sum124360.7967
Variance0.3098354387
MonotonicityNot monotonic
2024-06-11T19:34:56.338052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45265
30.2%
1.480453014 5237
 
3.5%
1.164401954 2057
 
1.4%
1.260942818 1213
 
0.8%
1.082760975 1142
 
0.8%
1.31316983 766
 
0.5%
1.049793044 759
 
0.5%
1.220903412 643
 
0.4%
1.113213566 628
 
0.4%
1.03324115 572
 
0.4%
Other values (18966) 91718
61.1%
ValueCountFrequency (%)
0 45265
30.2%
1.000001379 1
 
< 0.1%
1.000001953 1
 
< 0.1%
1.000004695 1
 
< 0.1%
1.000005765 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 5237
3.5%
1.478711923 1
 
< 0.1%
1.47754199 1
 
< 0.1%
1.477517332 1
 
< 0.1%
1.477223233 1
 
< 0.1%

voice_out_fix_tar_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct971
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1658879478
Minimum-43.03220593
Maximum45.91178118
Zeros110855
Zeros (%)73.9%
Negative17506
Negative (%)11.7%
Memory size1.1 MiB
2024-06-11T19:34:56.408879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-43.03220593
5-th percentile-3.847434916
Q10
median0
Q30
95-th percentile5.061712659
Maximum45.91178118
Range88.94398711
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.201989736
Coefficient of variation (CV)19.30212398
Kurtosis17.46768792
Mean0.1658879478
Median Absolute Deviation (MAD)0
Skewness0.5169234748
Sum24883.19217
Variance10.25273827
MonotonicityNot monotonic
2024-06-11T19:34:56.475934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110855
73.9%
2.124878644 1139
 
0.8%
1.514559429 1034
 
0.7%
2.431015877 1009
 
0.7%
1.238333209 999
 
0.7%
-2.124878644 964
 
0.6%
-1.238333209 949
 
0.6%
1.816535297 943
 
0.6%
1.036270046 842
 
0.6%
-2.431015877 833
 
0.6%
Other values (961) 30433
 
20.3%
ValueCountFrequency (%)
-43.03220593 1
< 0.1%
-36.51616937 1
< 0.1%
-35.54132892 1
< 0.1%
-35.49286755 1
< 0.1%
-33.68992808 1
< 0.1%
ValueCountFrequency (%)
45.91178118 1
< 0.1%
43.07788562 1
< 0.1%
38.49711904 1
< 0.1%
37.63335882 1
< 0.1%
37.23370106 1
< 0.1%

all_clc_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct26482
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.214106583
Minimum0
Maximum53.36220261
Zeros57764
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:56.618525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.392600001
Q311.89177647
95-th percentile16.92062564
Maximum53.36220261
Range53.36220261
Interquartile range (IQR)11.89177647

Descriptive statistics

Standard deviation6.749969423
Coefficient of variation (CV)1.086233287
Kurtosis-0.2993155916
Mean6.214106583
Median Absolute Deviation (MAD)2.392600001
Skewness0.7000049713
Sum932115.9875
Variance45.56208721
MonotonicityNot monotonic
2024-06-11T19:34:56.690038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57764
38.5%
11.23918336 3061
 
2.0%
11.49152712 2983
 
2.0%
1.066468818 2914
 
1.9%
16.60934787 1861
 
1.2%
11.73720396 1802
 
1.2%
10.15469148 1769
 
1.2%
1.066399103 1523
 
1.0%
10.15463275 1453
 
1.0%
13.89999198 1449
 
1.0%
Other values (26472) 73421
48.9%
ValueCountFrequency (%)
0 57764
38.5%
1.000000001 346
 
0.2%
1.000000002 97
 
0.1%
1.000000006 31
 
< 0.1%
1.00000001 19
 
< 0.1%
ValueCountFrequency (%)
53.36220261 1
< 0.1%
44.50148964 1
< 0.1%
43.89865991 1
< 0.1%
43.01198798 1
< 0.1%
42.9163526 1
< 0.1%

voice_out_cmpttrs_td_cnttd_mnt3
Real number (ℝ)

ZEROS 

Distinct3275
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1589940932
Minimum-14.53469315
Maximum16.73646762
Zeros26545
Zeros (%)17.7%
Negative54569
Negative (%)36.4%
Memory size1.1 MiB
2024-06-11T19:34:56.757000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-14.53469315
5-th percentile-1.343667318
Q1-1.004568853
median0
Q31.026925896
95-th percentile1.760324891
Maximum16.73646762
Range31.27116077
Interquartile range (IQR)2.031494749

Descriptive statistics

Standard deviation1.226941461
Coefficient of variation (CV)7.716899645
Kurtosis2.218554117
Mean0.1589940932
Median Absolute Deviation (MAD)1.012617846
Skewness0.2100271698
Sum23849.11398
Variance1.505385349
MonotonicityNot monotonic
2024-06-11T19:34:56.824005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26545
 
17.7%
1.001424332 1446
 
1.0%
-1.001424332 1444
 
1.0%
1.00095998 1364
 
0.9%
1.000300379 1282
 
0.9%
1.000584711 1259
 
0.8%
-1.00095998 1255
 
0.8%
1.000108887 1242
 
0.8%
-1.000108887 1207
 
0.8%
1.000012183 1186
 
0.8%
Other values (3265) 111770
74.5%
ValueCountFrequency (%)
-14.53469315 1
< 0.1%
-10.89970914 1
< 0.1%
-9.548609495 1
< 0.1%
-9.487982604 1
< 0.1%
-9.045725261 1
< 0.1%
ValueCountFrequency (%)
16.73646762 1
< 0.1%
13.79905495 1
< 0.1%
11.46947817 1
< 0.1%
10.60744677 1
< 0.1%
10.47064407 1
< 0.1%

all_roam_clc_mea_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005595087977
Minimum0
Maximum14.64750149
Zeros149991
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:56.878092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14.64750149
Range14.64750149
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07789128842
Coefficient of variation (CV)139.2136973
Kurtosis27147.65738
Mean0.0005595087977
Median Absolute Deviation (MAD)0
Skewness158.0314369
Sum83.92631965
Variance0.006067052812
MonotonicityNot monotonic
2024-06-11T19:34:56.928454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 149991
> 99.9%
6.6639692 6
 
< 0.1%
14.64750149 3
 
< 0.1%
ValueCountFrequency (%)
0 149991
> 99.9%
6.6639692 6
 
< 0.1%
14.64750149 3
 
< 0.1%
ValueCountFrequency (%)
14.64750149 3
 
< 0.1%
6.6639692 6
 
< 0.1%
0 149991
> 99.9%

voice_in_tar_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct142908
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.44968096
Minimum0
Maximum131.3611317
Zeros5291
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:56.993704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.41644588
Q143.42147297
median55.31718713
Q365.14507229
95-th percentile78.31892832
Maximum131.3611317
Range131.3611317
Interquartile range (IQR)21.72359932

Descriptive statistics

Standard deviation19.10441097
Coefficient of variation (CV)0.3642426536
Kurtosis0.8144842177
Mean52.44968096
Median Absolute Deviation (MAD)10.68086106
Skewness-0.8299085423
Sum7867452.144
Variance364.9785186
MonotonicityNot monotonic
2024-06-11T19:34:57.064861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5291
 
3.5%
4.494900233 36
 
< 0.1%
1.064320397 35
 
< 0.1%
3.800184121 35
 
< 0.1%
4.979292293 32
 
< 0.1%
4.326715255 32
 
< 0.1%
4.82106116 31
 
< 0.1%
3.238219425 31
 
< 0.1%
9.456586673 30
 
< 0.1%
3.042659816 30
 
< 0.1%
Other values (142898) 144417
96.3%
ValueCountFrequency (%)
0 5291
3.5%
1.064320397 35
 
< 0.1%
1.069446038 1
 
< 0.1%
1.075498494 3
 
< 0.1%
1.102789099 3
 
< 0.1%
ValueCountFrequency (%)
131.3611317 1
< 0.1%
124.1362369 1
< 0.1%
123.0571586 1
< 0.1%
122.844563 1
< 0.1%
122.7416832 1
< 0.1%

voice_in_td_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct395
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.66203638
Minimum0
Maximum59.21652929
Zeros5291
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:57.130951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q18.333535892
median12.79226812
Q317.05871926
95-th percentile23.00874495
Maximum59.21652929
Range59.21652929
Interquartile range (IQR)8.725183366

Descriptive statistics

Standard deviation6.426174455
Coefficient of variation (CV)0.5075150839
Kurtosis-0.2708883462
Mean12.66203638
Median Absolute Deviation (MAD)4.458732229
Skewness0.06607578901
Sum1899305.457
Variance41.29571812
MonotonicityNot monotonic
2024-06-11T19:34:57.198214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5291
 
3.5%
1.480453014 3104
 
2.1%
2.206948961 2600
 
1.7%
8.333535892 2500
 
1.7%
7.578965206 2492
 
1.7%
2.921812056 2472
 
1.6%
7.964623589 2414
 
1.6%
6.749901739 2410
 
1.6%
10.26911687 2409
 
1.6%
5.827795843 2406
 
1.6%
Other values (385) 121902
81.3%
ValueCountFrequency (%)
0 5291
3.5%
1.480453014 3104
2.1%
2.206948961 2600
1.7%
2.921812056 2472
1.6%
3.590290394 2400
1.6%
ValueCountFrequency (%)
59.21652929 1
< 0.1%
53.1654599 1
< 0.1%
47.98217564 1
< 0.1%
45.96559567 1
< 0.1%
43.93535961 1
< 0.1%

voice_out_fix_tar_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.495192993
Minimum0
Maximum85.42296424
Zeros142147
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:57.265270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.89928393
Maximum85.42296424
Range85.42296424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.79967172
Coefficient of variation (CV)4.547688327
Kurtosis26.89396831
Mean1.495192993
Median Absolute Deviation (MAD)0
Skewness5.003829726
Sum224278.9489
Variance46.2355355
MonotonicityNot monotonic
2024-06-11T19:34:57.331354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142147
94.8%
17.89928393 2351
 
1.6%
23.99960696 1531
 
1.0%
28.02437138 945
 
0.6%
31.0829974 663
 
0.4%
33.57110757 470
 
0.3%
35.67888361 309
 
0.2%
37.51341156 255
 
0.2%
39.14133654 199
 
0.1%
40.60712622 186
 
0.1%
Other values (75) 944
 
0.6%
ValueCountFrequency (%)
0 142147
94.8%
17.89928393 2351
 
1.6%
23.99960696 1531
 
1.0%
28.02437138 945
 
0.6%
28.13874598 1
 
< 0.1%
ValueCountFrequency (%)
85.42296424 1
< 0.1%
85.19626803 1
< 0.1%
84.14402818 1
< 0.1%
82.39141395 1
< 0.1%
81.86161634 1
< 0.1%

conn_com_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct123640
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9395494953
Minimum0
Maximum1.207704776
Zeros12375
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:57.396689image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.00138979
median1.007232079
Q31.025105263
95-th percentile1.106139274
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.02371547348

Descriptive statistics

Standard deviation0.2837161372
Coefficient of variation (CV)0.3019704002
Kurtosis6.942796351
Mean0.9395494953
Median Absolute Deviation (MAD)0.006941845184
Skewness-2.955914853
Sum140932.4243
Variance0.08049484648
MonotonicityNot monotonic
2024-06-11T19:34:57.470945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12375
 
8.2%
1.064320397 1658
 
1.1%
1.10808554 723
 
0.5%
1.01817803 431
 
0.3%
1.139222859 390
 
0.3%
1.008440556 288
 
0.2%
1.00485579 237
 
0.2%
1.17253086 216
 
0.1%
1.003150561 204
 
0.1%
1.073240924 189
 
0.1%
Other values (123630) 133289
88.9%
ValueCountFrequency (%)
0 12375
8.2%
1.000000493 1
 
< 0.1%
1.000001251 1
 
< 0.1%
1.000001457 1
 
< 0.1%
1.000001494 2
 
< 0.1%
ValueCountFrequency (%)
1.207704776 5
 
< 0.1%
1.196812318 1
 
< 0.1%
1.190780728 30
< 0.1%
1.183371724 22
< 0.1%
1.18303352 1
 
< 0.1%

voice_in_roam_clc_mea_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004385433479
Minimum0
Maximum14.46578492
Zeros149854
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:57.537815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14.46578492
Range14.46578492
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1612091874
Coefficient of variation (CV)36.76014883
Kurtosis2591.11683
Mean0.004385433479
Median Absolute Deviation (MAD)0
Skewness46.62854082
Sum657.8150219
Variance0.0259884021
MonotonicityNot monotonic
2024-06-11T19:34:57.596594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 149854
99.9%
2.416463558 58
 
< 0.1%
3.539646722 23
 
< 0.1%
5.079091371 15
 
< 0.1%
7.991662295 14
 
< 0.1%
5.252406607 8
 
< 0.1%
3.952631225 6
 
< 0.1%
6.370836589 4
 
< 0.1%
7.485597097 1
 
< 0.1%
10.15466212 1
 
< 0.1%
Other values (16) 16
 
< 0.1%
ValueCountFrequency (%)
0 149854
99.9%
2.416463558 58
 
< 0.1%
2.651022633 1
 
< 0.1%
3.539646722 23
 
< 0.1%
3.952631225 6
 
< 0.1%
ValueCountFrequency (%)
14.46578492 1
< 0.1%
13.70403779 1
< 0.1%
12.36291828 1
< 0.1%
10.25012915 1
< 0.1%
10.15466212 1
< 0.1%

pay_p2p_in_sum_max_mnt3
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3354046852
Minimum0
Maximum105.9960507
Zeros147404
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:57.668439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum105.9960507
Range105.9960507
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.805146362
Coefficient of variation (CV)8.36346803
Kurtosis110.8133324
Mean0.3354046852
Median Absolute Deviation (MAD)0
Skewness9.657779737
Sum50310.70278
Variance7.868846111
MonotonicityNot monotonic
2024-06-11T19:34:57.741337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147404
98.3%
22.29933738 280
 
0.2%
6.749901739 211
 
0.1%
10.26911687 184
 
0.1%
26.17309696 154
 
0.1%
23.99960696 131
 
0.1%
16.45925281 131
 
0.1%
24.76754894 118
 
0.1%
12.79226812 104
 
0.1%
29.12504295 84
 
0.1%
Other values (203) 1199
 
0.8%
ValueCountFrequency (%)
0 147404
98.3%
1.480453014 6
 
< 0.1%
1.619515065 1
 
< 0.1%
1.839588705 1
 
< 0.1%
2.067470177 1
 
< 0.1%
ValueCountFrequency (%)
105.9960507 1
< 0.1%
77.25595979 1
< 0.1%
66.64209178 1
< 0.1%
58.89491225 1
< 0.1%
57.19147541 1
< 0.1%

content_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct469
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.920488261
Minimum0
Maximum63.98348167
Zeros2731
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:57.806412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.427814651
Q16.416221519
median7.964623589
Q39.434174812
95-th percentile12.16290549
Maximum63.98348167
Range63.98348167
Interquartile range (IQR)3.017953293

Descriptive statistics

Standard deviation2.74241549
Coefficient of variation (CV)0.3462432365
Kurtosis4.290190994
Mean7.920488261
Median Absolute Deviation (MAD)1.469551223
Skewness0.2605155947
Sum1188073.239
Variance7.52084272
MonotonicityNot monotonic
2024-06-11T19:34:57.956001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.379305185 2741
 
1.8%
0 2731
 
1.8%
7.578965206 2725
 
1.8%
7.479729455 2704
 
1.8%
7.070572791 2699
 
1.8%
7.277660221 2687
 
1.8%
7.964623589 2677
 
1.8%
7.174761058 2662
 
1.8%
7.773993599 2652
 
1.8%
6.965059041 2638
 
1.8%
Other values (459) 123084
82.1%
ValueCountFrequency (%)
0 2731
1.8%
1.049793044 251
 
0.2%
1.164401954 141
 
0.1%
1.31316983 307
 
0.2%
1.480453014 216
 
0.1%
ValueCountFrequency (%)
63.98348167 1
< 0.1%
37.34740308 1
< 0.1%
37.03182787 1
< 0.1%
35.21460038 1
< 0.1%
33.96366636 1
< 0.1%

voice_in_roam_clc_mea_wk1
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000354946958
Minimum0
Maximum26.62102185
Zeros149998
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.013104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.62102185
Range26.62102185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09720590377
Coefficient of variation (CV)273.8603659
Kurtosis74997.49995
Mean0.000354946958
Median Absolute Deviation (MAD)0
Skewness273.8585401
Sum53.24204369
Variance0.009448987728
MonotonicityNot monotonic
2024-06-11T19:34:58.063735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149998
> 99.9%
26.62102185 2
 
< 0.1%
ValueCountFrequency (%)
0 149998
> 99.9%
26.62102185 2
 
< 0.1%
ValueCountFrequency (%)
26.62102185 2
 
< 0.1%
0 149998
> 99.9%

com_num_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct1487
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.562897349
Minimum0
Maximum2.206948961
Zeros72906
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.126861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.001975959
Q31.054575899
95-th percentile1.260942818
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)1.054575899

Descriptive statistics

Standard deviation0.5528783135
Coefficient of variation (CV)0.9822009545
Kurtosis-1.895543814
Mean0.562897349
Median Absolute Deviation (MAD)0.3931728875
Skewness0.009524164876
Sum84434.60235
Variance0.3056744295
MonotonicityNot monotonic
2024-06-11T19:34:58.196624image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72906
48.6%
1.164401954 4563
 
3.0%
1.082760975 4555
 
3.0%
1.049793044 3933
 
2.6%
1.03324115 3325
 
2.2%
1.023762432 2922
 
1.9%
1.017830633 2442
 
1.6%
1.013872843 2079
 
1.4%
1.113213566 1893
 
1.3%
1.011100838 1714
 
1.1%
Other values (1477) 49668
33.1%
ValueCountFrequency (%)
0 72906
48.6%
1.000031385 1
 
< 0.1%
1.000033607 1
 
< 0.1%
1.000052132 1
 
< 0.1%
1.000073681 1
 
< 0.1%
ValueCountFrequency (%)
2.206948961 4
< 0.1%
1.839588705 4
< 0.1%
1.78730696 1
 
< 0.1%
1.717913664 1
 
< 0.1%
1.717913664 9
< 0.1%

pay_p2p_in_sum_mea_wk1
Real number (ℝ)

SKEWED  ZEROS 

Distinct69
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03813929565
Minimum0
Maximum66.64209178
Zeros149682
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.263684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum66.64209178
Range66.64209178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.923663312
Coefficient of variation (CV)24.21815338
Kurtosis908.8330776
Mean0.03813929565
Median Absolute Deviation (MAD)0
Skewness28.03140633
Sum5720.894347
Variance0.8531539139
MonotonicityNot monotonic
2024-06-11T19:34:58.332367image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149682
99.8%
22.29933738 29
 
< 0.1%
6.749901739 24
 
< 0.1%
10.26911687 21
 
< 0.1%
23.99960696 20
 
< 0.1%
24.76754894 20
 
< 0.1%
12.79226812 18
 
< 0.1%
16.45925281 15
 
< 0.1%
4.210401996 15
 
< 0.1%
26.17309696 13
 
< 0.1%
Other values (59) 143
 
0.1%
ValueCountFrequency (%)
0 149682
99.8%
1.480453014 1
 
< 0.1%
2.067470177 1
 
< 0.1%
2.206948961 2
 
< 0.1%
2.921812056 1
 
< 0.1%
ValueCountFrequency (%)
66.64209178 1
< 0.1%
48.7308926 1
< 0.1%
40.56052196 1
< 0.1%
38.43111332 1
< 0.1%
33.75942642 1
< 0.1%

all_home_clc_td_mnt3
Real number (ℝ)

ZEROS 

Distinct51623
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06042650251
Minimum-14.759225
Maximum23.27017845
Zeros55478
Zeros (%)37.0%
Negative44050
Negative (%)29.4%
Memory size1.1 MiB
2024-06-11T19:34:58.399879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-14.759225
5-th percentile-1.29658951
Q1-1.000470841
median0
Q31.001958276
95-th percentile1.395105275
Maximum23.27017845
Range38.02940345
Interquartile range (IQR)2.002429117

Descriptive statistics

Standard deviation1.097931851
Coefficient of variation (CV)18.16970709
Kurtosis7.994102085
Mean0.06042650251
Median Absolute Deviation (MAD)1.001152854
Skewness0.3132545619
Sum9063.975377
Variance1.205454349
MonotonicityNot monotonic
2024-06-11T19:34:58.468859image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55478
37.0%
1.000805781 595
 
0.4%
1.001958276 594
 
0.4%
1.00041444 579
 
0.4%
1.001321381 536
 
0.4%
-1.001958276 506
 
0.3%
1.00036145 504
 
0.3%
1.00001685 486
 
0.3%
1.036693105 476
 
0.3%
-1.000805781 469
 
0.3%
Other values (51613) 89777
59.9%
ValueCountFrequency (%)
-14.759225 1
< 0.1%
-12.8515802 1
< 0.1%
-12.13324913 1
< 0.1%
-11.9127646 1
< 0.1%
-10.21535008 1
< 0.1%
ValueCountFrequency (%)
23.27017845 1
< 0.1%
19.60343644 1
< 0.1%
15.02521666 1
< 0.1%
13.11714955 1
< 0.1%
12.46119431 1
< 0.1%

voice_out_td_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct968
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.758524318
Minimum0
Maximum45.35899661
Zeros20950
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.538226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.921812056
median8.512204037
Q313.43521855
95-th percentile19.95294963
Maximum45.35899661
Range45.35899661
Interquartile range (IQR)10.51340649

Descriptive statistics

Standard deviation6.514611311
Coefficient of variation (CV)0.7438023889
Kurtosis-0.5129076864
Mean8.758524318
Median Absolute Deviation (MAD)5.249955221
Skewness0.4074043415
Sum1313778.648
Variance42.44016053
MonotonicityNot monotonic
2024-06-11T19:34:58.603610image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20950
 
14.0%
1.049793044 2813
 
1.9%
1.164401954 1969
 
1.3%
1.31316983 1586
 
1.1%
1.480453014 1433
 
1.0%
1.657607816 1326
 
0.9%
1.839588705 1271
 
0.8%
2.023336405 1162
 
0.8%
2.206948961 1144
 
0.8%
2.3892276 1075
 
0.7%
Other values (958) 115271
76.8%
ValueCountFrequency (%)
0 20950
14.0%
1.049793044 2813
 
1.9%
1.164401954 1969
 
1.3%
1.31316983 1586
 
1.1%
1.480453014 1433
 
1.0%
ValueCountFrequency (%)
45.35899661 1
< 0.1%
43.88386341 1
< 0.1%
41.79760265 1
< 0.1%
40.34306696 1
< 0.1%
38.71801766 1
< 0.1%

vas_clc_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1512
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9756132647
Minimum0
Maximum62.76573354
Zeros129109
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.669903image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.750474527
Maximum62.76573354
Range62.76573354
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.598081747
Coefficient of variation (CV)3.688020527
Kurtosis37.65971311
Mean0.9756132647
Median Absolute Deviation (MAD)0
Skewness5.417176883
Sum146341.9897
Variance12.94619226
MonotonicityNot monotonic
2024-06-11T19:34:58.738142image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129109
86.1%
4.497536115 3337
 
2.2%
1.604773951 3092
 
2.1%
1.604273725 2278
 
1.5%
7.165976416 1167
 
0.8%
22.11876484 722
 
0.5%
9.181785673 661
 
0.4%
2.46360592 619
 
0.4%
2.462595556 465
 
0.3%
10.81975628 430
 
0.3%
Other values (1502) 8120
 
5.4%
ValueCountFrequency (%)
0 129109
86.1%
1.000095107 26
 
< 0.1%
1.000196043 10
 
< 0.1%
1.000376763 1
 
< 0.1%
1.003494891 1
 
< 0.1%
ValueCountFrequency (%)
62.76573354 4
< 0.1%
61.63584073 1
 
< 0.1%
61.01672769 1
 
< 0.1%
58.11322992 1
 
< 0.1%
55.79823652 1
 
< 0.1%

com_num_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1822
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.010762891
Minimum0
Maximum2.206948961
Zeros22749
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.806102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.020477851
median1.09619608
Q31.260942818
95-th percentile1.480453014
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)0.2404649664

Descriptive statistics

Standard deviation0.4606519109
Coefficient of variation (CV)0.4557467582
Kurtosis0.9921981189
Mean1.010762891
Median Absolute Deviation (MAD)0.0897892445
Skewness-1.289757646
Sum151614.4337
Variance0.212200183
MonotonicityNot monotonic
2024-06-11T19:34:58.871643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22749
 
15.2%
1.480453014 12879
 
8.6%
1.164401954 10730
 
7.2%
1.082760975 6989
 
4.7%
1.049793044 5017
 
3.3%
1.260942818 4830
 
3.2%
1.03324115 3665
 
2.4%
1.113213566 3190
 
2.1%
1.023762432 2791
 
1.9%
1.31316983 2584
 
1.7%
Other values (1812) 74576
49.7%
ValueCountFrequency (%)
0 22749
15.2%
1.000111981 1
 
< 0.1%
1.000116038 1
 
< 0.1%
1.000256011 1
 
< 0.1%
1.000282479 1
 
< 0.1%
ValueCountFrequency (%)
2.206948961 734
0.5%
2.060116144 3
 
< 0.1%
2.023336405 15
 
< 0.1%
1.997059825 1
 
< 0.1%
1.962026024 78
 
0.1%

voice_mts_out_drest_partstd_mnt3
Real number (ℝ)

ZEROS 

Distinct115513
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8548713779
Minimum0
Maximum1.17253086
Zeros24952
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:58.935474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.003150561
median1.01213261
Q31.029513004
95-th percentile1.072713857
Maximum1.17253086
Range1.17253086
Interquartile range (IQR)0.02636244323

Descriptive statistics

Standard deviation0.38257544
Coefficient of variation (CV)0.4475239783
Kurtosis1.185407239
Mean0.8548713779
Median Absolute Deviation (MAD)0.01143858962
Skewness-1.776768719
Sum128230.7067
Variance0.1463639673
MonotonicityNot monotonic
2024-06-11T19:34:59.004613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24952
 
16.6%
1.064320397 1868
 
1.2%
1.01817803 446
 
0.3%
1.10808554 304
 
0.2%
1.008440556 301
 
0.2%
1.00485579 201
 
0.1%
1.003150561 184
 
0.1%
1.002208149 148
 
0.1%
1.030979552 148
 
0.1%
1.073240924 133
 
0.1%
Other values (115503) 121315
80.9%
ValueCountFrequency (%)
0 24952
16.6%
1.00000034 1
 
< 0.1%
1.000000421 1
 
< 0.1%
1.000000426 1
 
< 0.1%
1.000000468 1
 
< 0.1%
ValueCountFrequency (%)
1.17253086 1
< 0.1%
1.170752369 1
< 0.1%
1.170022041 1
< 0.1%
1.169220336 1
< 0.1%
1.167350334 1
< 0.1%

pay_sum_td_mnt3
Real number (ℝ)

ZEROS 

Distinct17295
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2358600807
Minimum-83.07119147
Maximum32.92638263
Zeros27956
Zeros (%)18.6%
Negative56433
Negative (%)37.6%
Memory size1.1 MiB
2024-06-11T19:34:59.071084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-83.07119147
5-th percentile-4.774894007
Q1-1.765425193
median0
Q32.278539342
95-th percentile5.201513091
Maximum32.92638263
Range115.9975741
Interquartile range (IQR)4.043964534

Descriptive statistics

Standard deviation3.304139714
Coefficient of variation (CV)14.00889758
Kurtosis5.883963096
Mean0.2358600807
Median Absolute Deviation (MAD)2.022050194
Skewness-0.04985709146
Sum35379.01211
Variance10.91733925
MonotonicityNot monotonic
2024-06-11T19:34:59.137534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27956
 
18.6%
1.514559429 1198
 
0.8%
2.278539342 1101
 
0.7%
-1.514559429 1061
 
0.7%
3.023078865 982
 
0.7%
-2.278539342 892
 
0.6%
-3.023078865 791
 
0.5%
2.022050194 739
 
0.5%
2.531813523 711
 
0.5%
1.281129869 702
 
0.5%
Other values (17285) 113867
75.9%
ValueCountFrequency (%)
-83.07119147 1
< 0.1%
-42.61320776 1
< 0.1%
-23.84058304 1
< 0.1%
-21.92245502 1
< 0.1%
-21.34785349 1
< 0.1%
ValueCountFrequency (%)
32.92638263 1
< 0.1%
30.17540335 1
< 0.1%
28.86086692 1
< 0.1%
28.77691512 1
< 0.1%
28.16934268 1
< 0.1%

pay_p2p_in_sum_std_mnt1
Real number (ℝ)

ZEROS 

Distinct198
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1044991525
Minimum0
Maximum55.89530284
Zeros148896
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:59.200382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55.89530284
Range55.89530284
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.356189167
Coefficient of variation (CV)12.97799201
Kurtosis251.6912495
Mean0.1044991525
Median Absolute Deviation (MAD)0
Skewness14.86049273
Sum15674.87288
Variance1.839249056
MonotonicityNot monotonic
2024-06-11T19:34:59.343663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148896
99.3%
16.45925281 119
 
0.1%
4.210401996 68
 
< 0.1%
6.749901739 63
 
< 0.1%
17.89928393 62
 
< 0.1%
18.55320686 60
 
< 0.1%
19.75525126 56
 
< 0.1%
11.61519305 56
 
< 0.1%
18.2311323 38
 
< 0.1%
2.569415055 37
 
< 0.1%
Other values (188) 545
 
0.4%
ValueCountFrequency (%)
0 148896
99.3%
1.164401954 3
 
< 0.1%
1.415357059 1
 
< 0.1%
1.480453014 5
 
< 0.1%
1.663597369 1
 
< 0.1%
ValueCountFrequency (%)
55.89530284 1
< 0.1%
47.28768379 1
< 0.1%
46.51407661 1
< 0.1%
41.43201586 1
< 0.1%
39.64619142 1
< 0.1%

conn_out_uniq_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct8133
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.672141666
Minimum0
Maximum32.80389005
Zeros10697
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:59.409959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.685092253
median2.435806422
Q33.429636177
95-th percentile5.500069332
Maximum32.80389005
Range32.80389005
Interquartile range (IQR)1.744543923

Descriptive statistics

Standard deviation1.611246163
Coefficient of variation (CV)0.6029793195
Kurtosis10.512478
Mean2.672141666
Median Absolute Deviation (MAD)0.8395298617
Skewness1.652737893
Sum400821.2499
Variance2.596114199
MonotonicityNot monotonic
2024-06-11T19:34:59.477159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10697
 
7.1%
1.064320397 2966
 
2.0%
1.10808554 1394
 
0.9%
1.59627656 880
 
0.6%
1.26210277 870
 
0.6%
1.412203867 862
 
0.6%
1.340902659 824
 
0.5%
1.477823573 790
 
0.5%
1.139222859 763
 
0.5%
1.798128817 759
 
0.5%
Other values (8123) 129195
86.1%
ValueCountFrequency (%)
0 10697
7.1%
1.064320397 2966
 
2.0%
1.069446038 35
 
< 0.1%
1.075498494 28
 
< 0.1%
1.082760975 63
 
< 0.1%
ValueCountFrequency (%)
32.80389005 1
< 0.1%
30.82811486 1
< 0.1%
29.33484395 1
< 0.1%
28.71854437 1
< 0.1%
28.70028059 1
< 0.1%

all_clc_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct341
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03670886448
Minimum0
Maximum48.06207698
Zeros148601
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:59.545588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.06207698
Range48.06207698
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5398040759
Coefficient of variation (CV)14.70500609
Kurtosis1013.829363
Mean0.03670886448
Median Absolute Deviation (MAD)0
Skewness25.74637638
Sum5506.329672
Variance0.2913884404
MonotonicityNot monotonic
2024-06-11T19:34:59.616993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148601
99.1%
1.604773951 163
 
0.1%
2.463172916 149
 
0.1%
1.169725207 126
 
0.1%
1.604273725 118
 
0.1%
4.0319091 54
 
< 0.1%
2.46360592 43
 
< 0.1%
5.353447327 31
 
< 0.1%
1.335206418 28
 
< 0.1%
2.462595556 27
 
< 0.1%
Other values (331) 660
 
0.4%
ValueCountFrequency (%)
0 148601
99.1%
1.00000001 24
 
< 0.1%
1.00000004 1
 
< 0.1%
1.00000009 2
 
< 0.1%
1.00000016 1
 
< 0.1%
ValueCountFrequency (%)
48.06207698 1
< 0.1%
25.55063453 1
< 0.1%
24.45631888 1
< 0.1%
23.90940436 1
< 0.1%
23.16295481 1
< 0.1%

all_roam_clc_min_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:59.674355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:34:59.723617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

pay_p2p_out_sum_max_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:59.770354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:34:59.816946image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_cmpttrs_td_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct186
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.288276554
Minimum0
Maximum41.87800273
Zeros33653
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:34:59.877872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.480453014
median2.921812056
Q36.30189811
95-th percentile12.79226812
Maximum41.87800273
Range41.87800273
Interquartile range (IQR)4.821445097

Descriptive statistics

Standard deviation4.191685197
Coefficient of variation (CV)0.9774754832
Kurtosis1.795735936
Mean4.288276554
Median Absolute Deviation (MAD)2.905983788
Skewness1.281362055
Sum643241.4831
Variance17.57022479
MonotonicityNot monotonic
2024-06-11T19:34:59.948773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33653
22.4%
1.480453014 18580
12.4%
2.206948961 13899
 
9.3%
2.921812056 10979
 
7.3%
3.590290394 8756
 
5.8%
4.210401996 7254
 
4.8%
4.786566308 6221
 
4.1%
5.324077125 5165
 
3.4%
5.827795843 4515
 
3.0%
6.30189811 3863
 
2.6%
Other values (176) 37115
24.7%
ValueCountFrequency (%)
0 33653
22.4%
1.480453014 18580
12.4%
2.206948961 13899
9.3%
2.921812056 10979
 
7.3%
3.590290394 8756
 
5.8%
ValueCountFrequency (%)
41.87800273 1
< 0.1%
35.5806682 1
< 0.1%
35.18084635 1
< 0.1%
34.94227725 1
< 0.1%
34.30953264 1
< 0.1%

voice_mts_out_nrest_partstd_mnt3
Real number (ℝ)

ZEROS 

Distinct87277
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7032793865
Minimum0
Maximum1.140769731
Zeros45276
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.017129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000865818
Q31.004504846
95-th percentile1.025324967
Maximum1.140769731
Range1.140769731
Interquartile range (IQR)1.004504846

Descriptive statistics

Standard deviation0.4625553467
Coefficient of variation (CV)0.657712078
Kurtosis-1.255007746
Mean0.7032793865
Median Absolute Deviation (MAD)0.005369506321
Skewness-0.8614327552
Sum105491.908
Variance0.2139574488
MonotonicityNot monotonic
2024-06-11T19:35:00.085483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45276
30.2%
1.064320397 875
 
0.6%
1.01817803 401
 
0.3%
1.008440556 365
 
0.2%
1.00485579 342
 
0.2%
1.003150561 313
 
0.2%
1.001256603 273
 
0.2%
1.001633101 273
 
0.2%
1.002208149 266
 
0.2%
1.00099675 236
 
0.2%
Other values (87267) 101380
67.6%
ValueCountFrequency (%)
0 45276
30.2%
1.000000085 1
 
< 0.1%
1.000000103 1
 
< 0.1%
1.000000137 1
 
< 0.1%
1.000000211 1
 
< 0.1%
ValueCountFrequency (%)
1.140769731 1
< 0.1%
1.139668042 1
< 0.1%
1.139222859 2
< 0.1%
1.135250307 1
< 0.1%
1.133189497 1
< 0.1%

voice_in_td_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct3273
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.165108179
Minimum0
Maximum56.68893744
Zeros5291
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.149202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.023762432
Q14.551495545
median8.887100309
Q313.15467251
95-th percentile19.02946245
Maximum56.68893744
Range56.68893744
Interquartile range (IQR)8.603176966

Descriptive statistics

Standard deviation5.740146848
Coefficient of variation (CV)0.6263043203
Kurtosis-0.2570566348
Mean9.165108179
Median Absolute Deviation (MAD)4.303082708
Skewness0.4117062828
Sum1374766.227
Variance32.94928584
MonotonicityNot monotonic
2024-06-11T19:35:00.214041image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5291
 
3.5%
1.006406835 1496
 
1.0%
1.023762432 1088
 
0.7%
1.049793044 868
 
0.6%
1.082760975 823
 
0.5%
1.121317553 697
 
0.5%
1.164401954 673
 
0.4%
1.211169962 618
 
0.4%
1.260942818 608
 
0.4%
1.480453014 603
 
0.4%
Other values (3263) 137235
91.5%
ValueCountFrequency (%)
0 5291
3.5%
1.006406835 1496
 
1.0%
1.00757098 28
 
< 0.1%
1.00908403 27
 
< 0.1%
1.011100838 45
 
< 0.1%
ValueCountFrequency (%)
56.68893744 1
< 0.1%
46.0243076 1
< 0.1%
43.62059579 1
< 0.1%
42.60177361 1
< 0.1%
36.80498104 1
< 0.1%

data_3g_dou_min_mnt3
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5728755177
Minimum0
Maximum5.324077125
Zeros120427
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.267470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.210401996
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.300831221
Coefficient of variation (CV)2.270704859
Kurtosis4.357529175
Mean0.5728755177
Median Absolute Deviation (MAD)0
Skewness2.312328977
Sum85931.32765
Variance1.692161866
MonotonicityNot monotonic
2024-06-11T19:35:00.317629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 120427
80.3%
1.480453014 9122
 
6.1%
2.206948961 5910
 
3.9%
2.921812056 3803
 
2.5%
5.324077125 3018
 
2.0%
3.590290394 2838
 
1.9%
4.786566308 2533
 
1.7%
4.210401996 2349
 
1.6%
ValueCountFrequency (%)
0 120427
80.3%
1.480453014 9122
 
6.1%
2.206948961 5910
 
3.9%
2.921812056 3803
 
2.5%
3.590290394 2838
 
1.9%
ValueCountFrequency (%)
5.324077125 3018
2.0%
4.786566308 2533
1.7%
4.210401996 2349
1.6%
3.590290394 2838
1.9%
2.921812056 3803
2.5%

voice_mts_in_nrest_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct50056
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3563067499
Minimum0
Maximum1.480453014
Zeros97641
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.376922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000456105
95-th percentile1.032647509
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000456105

Descriptive statistics

Standard deviation0.4877014961
Coefficient of variation (CV)1.368768614
Kurtosis-1.542879134
Mean0.3563067499
Median Absolute Deviation (MAD)0
Skewness0.6506450412
Sum53446.01248
Variance0.2378527493
MonotonicityNot monotonic
2024-06-11T19:35:00.451040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 97641
65.1%
1.480453014 232
 
0.2%
1.013872843 11
 
< 0.1%
1.005491992 10
 
< 0.1%
1.000793598 9
 
< 0.1%
1.002631002 9
 
< 0.1%
1.001538264 9
 
< 0.1%
1.049793044 9
 
< 0.1%
1.03324115 9
 
< 0.1%
1.002164112 8
 
< 0.1%
Other values (50046) 52053
34.7%
ValueCountFrequency (%)
0 97641
65.1%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 232
0.2%
1.480071558 1
 
< 0.1%
1.479224271 1
 
< 0.1%
1.478897515 1
 
< 0.1%
1.478298896 1
 
< 0.1%

voice_in_fix_tar_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1869
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.439516477
Minimum0
Maximum102.8718192
Zeros107879
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.524281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.578965206
95-th percentile29.94329553
Maximum102.8718192
Range102.8718192
Interquartile range (IQR)7.578965206

Descriptive statistics

Standard deviation10.88750438
Coefficient of variation (CV)2.001557386
Kurtosis6.056605931
Mean5.439516477
Median Absolute Deviation (MAD)0
Skewness2.38100426
Sum815927.4715
Variance118.5377516
MonotonicityNot monotonic
2024-06-11T19:35:00.673044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107879
71.9%
1.480453014 922
 
0.6%
9.354248899 809
 
0.5%
8.687248223 799
 
0.5%
10.26911687 757
 
0.5%
9.027097853 719
 
0.5%
9.974411855 713
 
0.5%
9.669720902 712
 
0.5%
7.964623589 666
 
0.4%
10.55454345 621
 
0.4%
Other values (1859) 35403
 
23.6%
ValueCountFrequency (%)
0 107879
71.9%
1.480453014 922
 
0.6%
2.206948961 203
 
0.1%
2.921812056 204
 
0.1%
3.590290394 240
 
0.2%
ValueCountFrequency (%)
102.8718192 1
< 0.1%
95.82564678 1
< 0.1%
89.58833618 1
< 0.1%
88.82545102 1
< 0.1%
87.20230736 1
< 0.1%

ks_num_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1295
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6029783905
Minimum0
Maximum1.480453014
Zeros65957
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.740528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.005491992
Q31.049793044
95-th percentile1.200726152
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.049793044

Descriptive statistics

Standard deviation0.5391205552
Coefficient of variation (CV)0.8940959803
Kurtosis-1.862069192
Mean0.6029783905
Median Absolute Deviation (MAD)0.1589099624
Skewness-0.180403
Sum90446.75858
Variance0.290650973
MonotonicityNot monotonic
2024-06-11T19:35:00.814935image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65957
44.0%
1.082760975 5131
 
3.4%
1.164401954 4913
 
3.3%
1.049793044 4846
 
3.2%
1.03324115 4108
 
2.7%
1.023762432 3618
 
2.4%
1.017830633 2964
 
2.0%
1.013872843 2587
 
1.7%
1.011100838 2272
 
1.5%
1.480453014 2173
 
1.4%
Other values (1285) 51431
34.3%
ValueCountFrequency (%)
0 65957
44.0%
1.000039806 1
 
< 0.1%
1.00004415 1
 
< 0.1%
1.000068302 1
 
< 0.1%
1.000072432 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2173
1.4%
1.442193484 1
 
< 0.1%
1.434604799 1
 
< 0.1%
1.431359359 2
 
< 0.1%
1.427619825 1
 
< 0.1%

pay_p2p_out_sum_std_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct151
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04798090494
Minimum0
Maximum65.91130884
Zeros149389
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:00.885345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65.91130884
Range65.91130884
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9217944728
Coefficient of variation (CV)19.21169419
Kurtosis906.4096913
Mean0.04798090494
Median Absolute Deviation (MAD)0
Skewness26.27368728
Sum7197.135741
Variance0.84970505
MonotonicityNot monotonic
2024-06-11T19:35:00.953161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149389
99.6%
4.210401996 79
 
0.1%
6.749901739 55
 
< 0.1%
8.687248223 36
 
< 0.1%
2.569415055 30
 
< 0.1%
11.61519305 30
 
< 0.1%
5.579883184 27
 
< 0.1%
16.45925281 26
 
< 0.1%
7.773993599 19
 
< 0.1%
19.75525126 17
 
< 0.1%
Other values (141) 292
 
0.2%
ValueCountFrequency (%)
0 149389
99.6%
1.000000002 1
 
< 0.1%
1.164401954 4
 
< 0.1%
1.480453014 5
 
< 0.1%
1.839588705 5
 
< 0.1%
ValueCountFrequency (%)
65.91130884 1
< 0.1%
60.63632907 1
< 0.1%
44.31063605 1
< 0.1%
43.93535961 1
< 0.1%
40.73454477 1
< 0.1%

block_all_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.80897689
Minimum0
Maximum178.2267327
Zeros135851
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.018319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.08548322
Coefficient of variation (CV)3.098670643
Kurtosis5.706669342
Mean16.80897689
Median Absolute Deviation (MAD)0
Skewness2.776038838
Sum2521346.533
Variance2712.897562
MonotonicityNot monotonic
2024-06-11T19:35:01.082292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 135851
90.6%
178.2267327 14094
 
9.4%
178.2266446 19
 
< 0.1%
178.2266886 8
 
< 0.1%
140.8312045 1
 
< 0.1%
172.3802955 1
 
< 0.1%
172.062662 1
 
< 0.1%
141.6716308 1
 
< 0.1%
166.7178705 1
 
< 0.1%
151.4993251 1
 
< 0.1%
Other values (22) 22
 
< 0.1%
ValueCountFrequency (%)
0 135851
90.6%
140.8312045 1
 
< 0.1%
140.9610465 1
 
< 0.1%
141.6716308 1
 
< 0.1%
144.2269361 1
 
< 0.1%
ValueCountFrequency (%)
178.2267327 14094
9.4%
178.2266886 8
 
< 0.1%
178.2266446 19
 
< 0.1%
178.2266006 1
 
< 0.1%
178.2252358 1
 
< 0.1%

voice_in_cmpttrs_td_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct210
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.483484132
Minimum0
Maximum41.87800273
Zeros19216
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.151531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.206948961
median4.210401996
Q37.964623589
95-th percentile14.23203307
Maximum41.87800273
Range41.87800273
Interquartile range (IQR)5.757674628

Descriptive statistics

Standard deviation4.502489326
Coefficient of variation (CV)0.8211000921
Kurtosis1.190721809
Mean5.483484132
Median Absolute Deviation (MAD)2.729948982
Skewness1.057741718
Sum822522.6199
Variance20.27241013
MonotonicityNot monotonic
2024-06-11T19:35:01.215914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19216
 
12.8%
1.480453014 14841
 
9.9%
2.206948961 12828
 
8.6%
2.921812056 10956
 
7.3%
3.590290394 9371
 
6.2%
4.210401996 8043
 
5.4%
4.786566308 7027
 
4.7%
5.324077125 6143
 
4.1%
5.827795843 5452
 
3.6%
6.30189811 4748
 
3.2%
Other values (200) 51375
34.2%
ValueCountFrequency (%)
0 19216
12.8%
1.480453014 14841
9.9%
2.206948961 12828
8.6%
2.921812056 10956
7.3%
3.590290394 9371
6.2%
ValueCountFrequency (%)
41.87800273 1
< 0.1%
37.45588525 1
< 0.1%
35.5806682 1
< 0.1%
35.18084635 1
< 0.1%
34.94227725 1
< 0.1%

pay_sum_std_mnt1
Real number (ℝ)

ZEROS 

Distinct8133
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.65931381
Minimum0
Maximum66.75724731
Zeros51239
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.279504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.20345623
Q319.75525126
95-th percentile25.13417803
Maximum66.75724731
Range66.75724731
Interquartile range (IQR)19.75525126

Descriptive statistics

Standard deviation9.986058331
Coefficient of variation (CV)0.7888309333
Kurtosis-1.19060664
Mean12.65931381
Median Absolute Deviation (MAD)5.197680594
Skewness-0.167209929
Sum1898897.072
Variance99.72136099
MonotonicityNot monotonic
2024-06-11T19:35:01.348379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51239
34.2%
16.45925281 8829
 
5.9%
19.75525126 8450
 
5.6%
17.89928393 7516
 
5.0%
18.55320686 5690
 
3.8%
22.29933738 5111
 
3.4%
18.2311323 4733
 
3.2%
24.76754894 3835
 
2.6%
19.17043973 3795
 
2.5%
21.34785349 2771
 
1.8%
Other values (8123) 48031
32.0%
ValueCountFrequency (%)
0 51239
34.2%
1.00238048 1
 
< 0.1%
1.007426595 1
 
< 0.1%
1.00908403 1
 
< 0.1%
1.012843391 1
 
< 0.1%
ValueCountFrequency (%)
66.75724731 1
< 0.1%
61.84663241 1
< 0.1%
61.25789741 1
< 0.1%
57.02418135 1
< 0.1%
56.77016268 1
< 0.1%

abon_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct3366
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3256629077
Minimum0
Maximum1.480453014
Zeros116279
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.416047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.606348772
Coefficient of variation (CV)1.861890801
Kurtosis-0.2024437399
Mean0.3256629077
Median Absolute Deviation (MAD)0
Skewness1.33430866
Sum48849.43616
Variance0.3676588333
MonotonicityNot monotonic
2024-06-11T19:35:01.488335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116279
77.5%
1.480453014 23690
 
15.8%
1.462337126 885
 
0.6%
1.47648215 363
 
0.2%
1.44763168 325
 
0.2%
1.435460395 316
 
0.2%
1.473118561 174
 
0.1%
1.000669728 163
 
0.1%
1.434608471 136
 
0.1%
1.445251046 134
 
0.1%
Other values (3356) 7535
 
5.0%
ValueCountFrequency (%)
0 116279
77.5%
1.000000012 1
 
< 0.1%
1.000000025 1
 
< 0.1%
1.00000003 1
 
< 0.1%
1.00000004 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 23690
15.8%
1.480452674 95
 
0.1%
1.480452589 1
 
< 0.1%
1.480452572 2
 
< 0.1%
1.480452549 11
 
< 0.1%

sms_out_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct4326
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7582952059
Minimum0
Maximum38.96156253
Zeros90768
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.565159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.1237696
95-th percentile2.733143342
Maximum38.96156253
Range38.96156253
Interquartile range (IQR)1.1237696

Descriptive statistics

Standard deviation1.601688083
Coefficient of variation (CV)2.112222351
Kurtosis60.16824283
Mean0.7582952059
Median Absolute Deviation (MAD)0
Skewness6.074912727
Sum113744.2809
Variance2.565404715
MonotonicityNot monotonic
2024-06-11T19:35:01.635483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90768
60.5%
1.064320397 16670
 
11.1%
1.207704776 4800
 
3.2%
1.10808554 4481
 
3.0%
1.23367744 2638
 
1.8%
1.38913981 1728
 
1.2%
1.139222859 1209
 
0.8%
1.251588959 1153
 
0.8%
1.589289213 1068
 
0.7%
1.59627656 780
 
0.5%
Other values (4316) 24705
 
16.5%
ValueCountFrequency (%)
0 90768
60.5%
1.064320397 16670
 
11.1%
1.069446038 106
 
0.1%
1.075498494 93
 
0.1%
1.082760975 99
 
0.1%
ValueCountFrequency (%)
38.96156253 1
< 0.1%
37.62877553 1
< 0.1%
37.12800483 1
< 0.1%
35.16842033 1
< 0.1%
31.69051043 1
< 0.1%

sms_in_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9445789829
Minimum0
Maximum53.68454695
Zeros104157
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.707567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.480453014
95-th percentile4.786566308
Maximum53.68454695
Range53.68454695
Interquartile range (IQR)1.480453014

Descriptive statistics

Standard deviation1.939075757
Coefficient of variation (CV)2.052846604
Kurtosis22.59859729
Mean0.9445789829
Median Absolute Deviation (MAD)0
Skewness3.56873278
Sum141686.8474
Variance3.760014791
MonotonicityNot monotonic
2024-06-11T19:35:01.779618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 104157
69.4%
1.480453014 17775
 
11.8%
2.206948961 9066
 
6.0%
2.921812056 5169
 
3.4%
3.590290394 3379
 
2.3%
4.210401996 2310
 
1.5%
4.786566308 1599
 
1.1%
5.324077125 1239
 
0.8%
5.827795843 921
 
0.6%
6.30189811 712
 
0.5%
Other values (103) 3673
 
2.4%
ValueCountFrequency (%)
0 104157
69.4%
1.480453014 17775
 
11.8%
2.206948961 9066
 
6.0%
2.921812056 5169
 
3.4%
3.590290394 3379
 
2.3%
ValueCountFrequency (%)
53.68454695 1
< 0.1%
34.52363878 1
< 0.1%
33.72196682 1
< 0.1%
32.30079542 1
< 0.1%
30.43008269 1
< 0.1%

conn_in_uniq_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.920209475
Minimum0
Maximum45.36326133
Zeros15250
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:01.848353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.206948961
median4.786566308
Q36.749901739
95-th percentile10.83132398
Maximum45.36326133
Range45.36326133
Interquartile range (IQR)4.542952778

Descriptive statistics

Standard deviation3.370560224
Coefficient of variation (CV)0.6850440496
Kurtosis1.318442188
Mean4.920209475
Median Absolute Deviation (MAD)2.38819475
Skewness0.8352435088
Sum738031.4213
Variance11.36067622
MonotonicityNot monotonic
2024-06-11T19:35:01.913348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15250
 
10.2%
2.206948961 12392
 
8.3%
1.480453014 12103
 
8.1%
2.921812056 12066
 
8.0%
3.590290394 11881
 
7.9%
4.210401996 10726
 
7.2%
4.786566308 9918
 
6.6%
5.324077125 8747
 
5.8%
5.827795843 7702
 
5.1%
6.30189811 6647
 
4.4%
Other values (126) 42568
28.4%
ValueCountFrequency (%)
0 15250
10.2%
1.480453014 12103
8.1%
2.206948961 12392
8.3%
2.921812056 12066
8.0%
3.590290394 11881
7.9%
ValueCountFrequency (%)
45.36326133 1
< 0.1%
33.10839141 1
< 0.1%
32.62957291 1
< 0.1%
28.96576819 2
< 0.1%
28.75032958 1
< 0.1%

pay_sum_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002382263853
Minimum-96.77280395
Maximum48.7308926
Zeros149892
Zeros (%)99.9%
Negative39
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:02.054954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-96.77280395
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.7308926
Range145.5036965
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6728243498
Coefficient of variation (CV)-282.4306589
Kurtosis5740.709496
Mean-0.002382263853
Median Absolute Deviation (MAD)0
Skewness-51.08546927
Sum-357.339578
Variance0.4526926057
MonotonicityNot monotonic
2024-06-11T19:35:02.124189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149892
99.9%
16.45925281 6
 
< 0.1%
10.26911687 6
 
< 0.1%
6.749901739 3
 
< 0.1%
9.354248899 2
 
< 0.1%
8.687248223 2
 
< 0.1%
7.578965206 2
 
< 0.1%
2.206948961 2
 
< 0.1%
15.82363655 2
 
< 0.1%
23.99960696 2
 
< 0.1%
Other values (76) 81
 
0.1%
ValueCountFrequency (%)
-96.77280395 1
< 0.1%
-54.2673009 1
< 0.1%
-53.44402399 1
< 0.1%
-51.0371377 1
< 0.1%
-50.5036722 1
< 0.1%
ValueCountFrequency (%)
48.7308926 1
< 0.1%
26.37089152 1
< 0.1%
25.59507307 1
< 0.1%
24.76754894 1
< 0.1%
23.99960696 2
< 0.1%

ama_volume_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1801
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05760666673
Minimum0
Maximum1.000000101
Zeros141359
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:02.194832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1.000000101
Range1.000000101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2329989285
Coefficient of variation (CV)4.04465215
Kurtosis12.42068402
Mean0.05760666673
Median Absolute Deviation (MAD)0
Skewness3.797435768
Sum8641.00001
Variance0.05428850067
MonotonicityNot monotonic
2024-06-11T19:35:02.264626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141359
94.2%
1 1419
 
0.9%
1 832
 
0.6%
1 395
 
0.3%
1 339
 
0.2%
1 306
 
0.2%
1 258
 
0.2%
1 224
 
0.1%
1 174
 
0.1%
1 141
 
0.1%
Other values (1791) 4553
 
3.0%
ValueCountFrequency (%)
0 141359
94.2%
1 258
 
0.2%
1 3
 
< 0.1%
1 1
 
< 0.1%
1 33
 
< 0.1%
ValueCountFrequency (%)
1.000000101 1
< 0.1%
1.000000062 1
< 0.1%
1.000000061 1
< 0.1%
1.000000057 1
< 0.1%
1.000000052 1
< 0.1%

vas_clc_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01031482453
Minimum0
Maximum48.06207698
Zeros149448
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:02.336072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.06207698
Range48.06207698
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2580438567
Coefficient of variation (CV)25.01679557
Kurtosis9233.505917
Mean0.01031482453
Median Absolute Deviation (MAD)0
Skewness69.54087445
Sum1547.22368
Variance0.06658663196
MonotonicityNot monotonic
2024-06-11T19:35:02.410554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149448
99.6%
1.169725207 108
 
0.1%
1.604773951 96
 
0.1%
1.604273725 80
 
0.1%
2.46360592 32
 
< 0.1%
2.462595556 27
 
< 0.1%
3.280346311 15
 
< 0.1%
1.021216128 13
 
< 0.1%
3.281747174 12
 
< 0.1%
4.030932259 12
 
< 0.1%
Other values (75) 157
 
0.1%
ValueCountFrequency (%)
0 149448
99.6%
1.021216128 13
 
< 0.1%
1.074404269 4
 
< 0.1%
1.109437505 1
 
< 0.1%
1.109485035 4
 
< 0.1%
ValueCountFrequency (%)
48.06207698 1
< 0.1%
18.66347575 1
< 0.1%
16.36704634 1
< 0.1%
15.47632245 1
< 0.1%
15.34369807 1
< 0.1%

voice_in_td_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct4809
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.702330631
Minimum0
Maximum27.15545289
Zeros9149
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:02.485262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.533204418
median4.283814442
Q36.433045853
95-th percentile10.21822141
Maximum27.15545289
Range27.15545289
Interquartile range (IQR)3.899841435

Descriptive statistics

Standard deviation2.990732885
Coefficient of variation (CV)0.6360107614
Kurtosis1.15733908
Mean4.702330631
Median Absolute Deviation (MAD)1.918282351
Skewness0.8565669058
Sum705349.5946
Variance8.944483188
MonotonicityNot monotonic
2024-06-11T19:35:02.558611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9149
 
6.1%
1.164401954 3619
 
2.4%
1.45108808 2441
 
1.6%
1.839588705 1924
 
1.3%
2.365532092 1625
 
1.1%
1.207704776 1498
 
1.0%
1.992306409 1478
 
1.0%
1.480453014 1431
 
1.0%
1.7768194 1325
 
0.9%
1.663597369 1282
 
0.9%
Other values (4799) 124228
82.8%
ValueCountFrequency (%)
0 9149
6.1%
1.164401954 3619
 
2.4%
1.207704776 1498
 
1.0%
1.356301179 1162
 
0.8%
1.45108808 2441
 
1.6%
ValueCountFrequency (%)
27.15545289 1
< 0.1%
26.64474707 1
< 0.1%
26.12019932 1
< 0.1%
25.8168204 1
< 0.1%
25.10051599 1
< 0.1%

sms_roam_clc_max_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:02.614995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:02.664904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

all_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct983
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.55901639
Minimum0
Maximum108.94848
Zeros6856
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:02.728496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q111.61519305
median18.03323823
Q323.5966197
95-th percentile31.2638419
Maximum108.94848
Range108.94848
Interquartile range (IQR)11.98142665

Descriptive statistics

Standard deviation8.83431241
Coefficient of variation (CV)0.5031211439
Kurtosis0.9055000221
Mean17.55901639
Median Absolute Deviation (MAD)5.929651335
Skewness0.1359181652
Sum2633852.458
Variance78.04507576
MonotonicityNot monotonic
2024-06-11T19:35:02.801662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6856
 
4.6%
2.921812056 1505
 
1.0%
8.687248223 1347
 
0.9%
5.324077125 1339
 
0.9%
8.333535892 1328
 
0.9%
9.027097853 1326
 
0.9%
7.964623589 1317
 
0.9%
6.749901739 1313
 
0.9%
7.578965206 1311
 
0.9%
9.354248899 1281
 
0.9%
Other values (973) 131077
87.4%
ValueCountFrequency (%)
0 6856
4.6%
1.480453014 1140
 
0.8%
2.206948961 1020
 
0.7%
2.921812056 1505
 
1.0%
3.590290394 1206
 
0.8%
ValueCountFrequency (%)
108.94848 1
< 0.1%
99.87082802 1
< 0.1%
96.66426997 1
< 0.1%
95.02855702 1
< 0.1%
94.77430364 1
< 0.1%

voice_in_short_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1120
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5452682128
Minimum0
Maximum1.480453014
Zeros69414
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:02.871769image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000377062
Q31.002923264
95-th percentile1.023762432
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.002923264

Descriptive statistics

Standard deviation0.5076168991
Coefficient of variation (CV)0.9309490031
Kurtosis-1.937473779
Mean0.5452682128
Median Absolute Deviation (MAD)0.03286408801
Skewness-0.126397161
Sum81790.23191
Variance0.2576749163
MonotonicityNot monotonic
2024-06-11T19:35:02.949103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69414
46.3%
1.005491992 1912
 
1.3%
1.00908403 1895
 
1.3%
1.004165221 1869
 
1.2%
1.004760016 1867
 
1.2%
1.00757098 1865
 
1.2%
1.006406835 1828
 
1.2%
1.011100838 1796
 
1.2%
1.003675345 1795
 
1.2%
1.003267084 1778
 
1.2%
Other values (1110) 63981
42.7%
ValueCountFrequency (%)
0 69414
46.3%
1.000021139 1
 
< 0.1%
1.000029377 1
 
< 0.1%
1.00003174 1
 
< 0.1%
1.000032841 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 840
0.6%
1.383209542 1
 
< 0.1%
1.367400612 1
 
< 0.1%
1.357409079 1
 
< 0.1%
1.353676544 1
 
< 0.1%

accum_mts_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct38254
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5293766451
Minimum0
Maximum1.001215012
Zeros70594
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.025445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.000000295
95-th percentile1.000018238
Maximum1.001215012
Range1.001215012
Interquartile range (IQR)1.000000295

Descriptive statistics

Standard deviation0.4991412482
Coefficient of variation (CV)0.9428849059
Kurtosis-1.986173712
Mean0.5293766451
Median Absolute Deviation (MAD)3.264896598 × 10-5
Skewness-0.1176977791
Sum79406.49676
Variance0.2491419856
MonotonicityNot monotonic
2024-06-11T19:35:03.096480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70594
47.1%
1 10278
 
6.9%
1 2260
 
1.5%
1 1752
 
1.2%
1 979
 
0.7%
1 971
 
0.6%
1.000000001 596
 
0.4%
1 567
 
0.4%
1 566
 
0.4%
1 426
 
0.3%
Other values (38244) 61011
40.7%
ValueCountFrequency (%)
0 70594
47.1%
1 18
 
< 0.1%
1 10278
 
6.9%
1 2260
 
1.5%
1 244
 
0.2%
ValueCountFrequency (%)
1.001215012 1
< 0.1%
1.000733827 1
< 0.1%
1.000515307 1
< 0.1%
1.000488411 1
< 0.1%
1.000461531 1
< 0.1%

data_3g_tv_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct635
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.622848228
Minimum0
Maximum94.59014886
Zeros75001
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.164870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.578965206
95-th percentile18.92765789
Maximum94.59014886
Range94.59014886
Interquartile range (IQR)7.578965206

Descriptive statistics

Standard deviation6.855080202
Coefficient of variation (CV)1.482869405
Kurtosis5.298603746
Mean4.622848228
Median Absolute Deviation (MAD)0
Skewness1.994826806
Sum693427.2342
Variance46.99212458
MonotonicityNot monotonic
2024-06-11T19:35:03.231001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75001
50.0%
2.206948961 6341
 
4.2%
3.590290394 5087
 
3.4%
1.480453014 5026
 
3.4%
4.786566308 3981
 
2.7%
2.921812056 3549
 
2.4%
5.827795843 2963
 
2.0%
4.210401996 2624
 
1.7%
6.749901739 2319
 
1.5%
7.578965206 2086
 
1.4%
Other values (625) 41023
27.3%
ValueCountFrequency (%)
0 75001
50.0%
1.480453014 5026
 
3.4%
2.206948961 6341
 
4.2%
2.921812056 3549
 
2.4%
3.590290394 5087
 
3.4%
ValueCountFrequency (%)
94.59014886 1
< 0.1%
89.89228191 1
< 0.1%
86.66260196 1
< 0.1%
84.65739479 1
< 0.1%
78.12919481 1
< 0.1%

voice_out_td_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct265
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.291601321
Minimum0
Maximum43.80393935
Zeros46592
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.298600image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.324077125
Q310.55454345
95-th percentile17.62631161
Maximum43.80393935
Range43.80393935
Interquartile range (IQR)10.55454345

Descriptive statistics

Standard deviation6.146684387
Coefficient of variation (CV)0.9769666056
Kurtosis-0.1801540225
Mean6.291601321
Median Absolute Deviation (MAD)5.324077125
Skewness0.7579924552
Sum943740.1982
Variance37.78172895
MonotonicityNot monotonic
2024-06-11T19:35:03.445615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46592
31.1%
1.480453014 6181
 
4.1%
2.206948961 5076
 
3.4%
2.921812056 4503
 
3.0%
3.590290394 4289
 
2.9%
4.210401996 3973
 
2.6%
4.786566308 3958
 
2.6%
5.324077125 3528
 
2.4%
5.827795843 3260
 
2.2%
6.30189811 3259
 
2.2%
Other values (255) 65381
43.6%
ValueCountFrequency (%)
0 46592
31.1%
1.480453014 6181
 
4.1%
2.206948961 5076
 
3.4%
2.921812056 4503
 
3.0%
3.590290394 4289
 
2.9%
ValueCountFrequency (%)
43.80393935 1
< 0.1%
42.58817442 1
< 0.1%
39.3453532 1
< 0.1%
38.85611961 1
< 0.1%
36.83760761 1
< 0.1%

data_3g_tar_vol_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct93601
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.38712537
Minimum0
Maximum340.5268194
Zeros52992
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.510442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median91.80117017
Q3164.3636616
95-th percentile220.8606873
Maximum340.5268194
Range340.5268194
Interquartile range (IQR)164.3636616

Descriptive statistics

Standard deviation83.96361671
Coefficient of variation (CV)0.9393256172
Kurtosis-1.425953254
Mean89.38712537
Median Absolute Deviation (MAD)91.80117017
Skewness0.2369160242
Sum13408068.81
Variance7049.888931
MonotonicityNot monotonic
2024-06-11T19:35:03.581936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52992
35.3%
1.049793044 203
 
0.1%
11.61519305 151
 
0.1%
1.164401954 122
 
0.1%
1.657607816 89
 
0.1%
1.480453014 86
 
0.1%
1.31316983 86
 
0.1%
1.839588705 57
 
< 0.1%
16.45925281 56
 
< 0.1%
2.206948961 51
 
< 0.1%
Other values (93591) 96107
64.1%
ValueCountFrequency (%)
0 52992
35.3%
1.000094444 6
 
< 0.1%
1.000114167 3
 
< 0.1%
1.000159148 30
 
< 0.1%
1.000184396 1
 
< 0.1%
ValueCountFrequency (%)
340.5268194 1
< 0.1%
333.9076384 1
< 0.1%
331.926743 1
< 0.1%
321.4778491 1
< 0.1%
319.5030654 1
< 0.1%

voice_mts_out_nrest_partmin_mnt1
Real number (ℝ)

ZEROS 

Distinct4011
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1049145086
Minimum0
Maximum1.241294291
Zeros134286
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.653567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.00033261
Maximum1.241294291
Range1.241294291
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3067001259
Coefficient of variation (CV)2.923333769
Kurtosis4.663728352
Mean0.1049145086
Median Absolute Deviation (MAD)0
Skewness2.581353375
Sum15737.17629
Variance0.09406496724
MonotonicityNot monotonic
2024-06-11T19:35:03.729342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 134286
89.5%
1.000483072 60
 
< 0.1%
1.000443246 60
 
< 0.1%
1.000336691 57
 
< 0.1%
1.000392144 57
 
< 0.1%
1.000505029 55
 
< 0.1%
1.001322606 53
 
< 0.1%
1.000674726 53
 
< 0.1%
1.000219487 53
 
< 0.1%
1.000640991 52
 
< 0.1%
Other values (4001) 15214
 
10.1%
ValueCountFrequency (%)
0 134286
89.5%
1.000000227 1
 
< 0.1%
1.000000669 1
 
< 0.1%
1.000000704 1
 
< 0.1%
1.00000082 1
 
< 0.1%
ValueCountFrequency (%)
1.241294291 1
< 0.1%
1.091373726 1
< 0.1%
1.090062766 1
< 0.1%
1.076315928 1
< 0.1%
1.073056862 1
< 0.1%

all_cnt_mea_mnt1
Real number (ℝ)

Distinct3376
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.20548859
Minimum0
Maximum109.6008279
Zeros870
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.800906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.479729455
Q115.61679548
median21.32304201
Q326.64587918
95-th percentile34.5678347
Maximum109.6008279
Range109.6008279
Interquartile range (IQR)11.0290837

Descriptive statistics

Standard deviation8.368431485
Coefficient of variation (CV)0.3946351649
Kurtosis1.563672524
Mean21.20548859
Median Absolute Deviation (MAD)5.499405451
Skewness0.2797286566
Sum3180823.288
Variance70.03064553
MonotonicityNot monotonic
2024-06-11T19:35:03.871261image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 870
 
0.6%
12.33868121 274
 
0.2%
11.36116158 265
 
0.2%
12.16290549 263
 
0.2%
9.669720902 260
 
0.2%
14.51518663 260
 
0.2%
12.68085568 258
 
0.2%
13.84160798 257
 
0.2%
9.899204753 256
 
0.2%
15.82363655 255
 
0.2%
Other values (3366) 146782
97.9%
ValueCountFrequency (%)
0 870
0.6%
1.049793044 113
 
0.1%
1.164401954 91
 
0.1%
1.31316983 88
 
0.1%
1.480453014 78
 
0.1%
ValueCountFrequency (%)
109.6008279 1
< 0.1%
103.9116874 1
< 0.1%
102.5939466 1
< 0.1%
97.00029935 1
< 0.1%
95.30194143 1
< 0.1%

data_3g_dou_std_mnt3
Real number (ℝ)

ZEROS 

Distinct522
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.278178774
Minimum0
Maximum3.365682108
Zeros43193
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:03.939058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.477823573
Q31.955880637
95-th percentile2.622733011
Maximum3.365682108
Range3.365682108
Interquartile range (IQR)1.955880637

Descriptive statistics

Standard deviation0.9154256092
Coefficient of variation (CV)0.7161952833
Kurtosis-1.119834649
Mean1.278178774
Median Absolute Deviation (MAD)0.5562169647
Skewness-0.2363623372
Sum191726.8161
Variance0.838004046
MonotonicityNot monotonic
2024-06-11T19:35:04.009418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43193
28.8%
1.064320397 6233
 
4.2%
1.10808554 3086
 
2.1%
1.23367744 2135
 
1.4%
1.207704776 2052
 
1.4%
1.251588959 1780
 
1.2%
1.340902659 1666
 
1.1%
1.59627656 1563
 
1.0%
1.139222859 1525
 
1.0%
1.412203867 1524
 
1.0%
Other values (512) 85243
56.8%
ValueCountFrequency (%)
0 43193
28.8%
1.064320397 6233
 
4.2%
1.10808554 3086
 
2.1%
1.126134926 2
 
< 0.1%
1.139222859 1525
 
1.0%
ValueCountFrequency (%)
3.365682108 12
< 0.1%
3.331833468 21
< 0.1%
3.315030046 26
< 0.1%
3.290251909 23
< 0.1%
3.278814373 24
< 0.1%

voice_in_short_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct321
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006071737478
Minimum0
Maximum1.076315928
Zeros149090
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:04.082390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.076315928
Range1.076315928
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07771800564
Coefficient of variation (CV)12.79996145
Kurtosis159.8581981
Mean0.006071737478
Median Absolute Deviation (MAD)0
Skewness12.72214683
Sum910.7606217
Variance0.006040088401
MonotonicityNot monotonic
2024-06-11T19:35:04.153622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149090
99.4%
1.000119445 13
 
< 0.1%
1.000061515 11
 
< 0.1%
1.000070028 11
 
< 0.1%
1.000483072 10
 
< 0.1%
1.000064516 10
 
< 0.1%
1.000273218 9
 
< 0.1%
1.000124843 9
 
< 0.1%
1.000256011 9
 
< 0.1%
1.000122099 9
 
< 0.1%
Other values (311) 819
 
0.5%
ValueCountFrequency (%)
0 149090
99.4%
1.000008281 1
 
< 0.1%
1.000009555 1
 
< 0.1%
1.000009735 1
 
< 0.1%
1.000011223 1
 
< 0.1%
ValueCountFrequency (%)
1.076315928 1
< 0.1%
1.043114106 1
< 0.1%
1.040268728 1
< 0.1%
1.027907067 1
< 0.1%
1.027251324 1
< 0.1%

sms_in_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct2505
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3678445944
Minimum-19.99184321
Maximum15.42956849
Zeros17346
Zeros (%)11.6%
Negative42893
Negative (%)28.6%
Memory size1.1 MiB
2024-06-11T19:35:04.219589image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-19.99184321
5-th percentile-1.079267246
Q1-1.00043106
median1.001424332
Q31.031976208
95-th percentile1.403958541
Maximum15.42956849
Range35.4214117
Interquartile range (IQR)2.032407269

Descriptive statistics

Standard deviation1.074459259
Coefficient of variation (CV)2.920959764
Kurtosis7.338097329
Mean0.3678445944
Median Absolute Deviation (MAD)0.180245208
Skewness-0.3076172794
Sum55176.68916
Variance1.1544627
MonotonicityNot monotonic
2024-06-11T19:35:04.288868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17346
 
11.6%
1.001424332 2079
 
1.4%
1.00095998 1984
 
1.3%
1.000584711 1900
 
1.3%
1.000300379 1845
 
1.2%
1.000108887 1684
 
1.1%
-1.001424332 1658
 
1.1%
1.002283948 1484
 
1.0%
-1.00095998 1441
 
1.0%
1.00372538 1389
 
0.9%
Other values (2495) 117190
78.1%
ValueCountFrequency (%)
-19.99184321 1
< 0.1%
-15.89215293 1
< 0.1%
-14.48911919 1
< 0.1%
-13.60990713 1
< 0.1%
-12.30044173 1
< 0.1%
ValueCountFrequency (%)
15.42956849 1
< 0.1%
15.0760408 1
< 0.1%
14.7258053 1
< 0.1%
14.50020608 1
< 0.1%
14.0482781 1
< 0.1%

voice_mts_out_dwork_partstd_mnt1
Real number (ℝ)

ZEROS 

Distinct105719
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8357342858
Minimum0
Maximum1.207704776
Zeros29835
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:04.360635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.002356677
median1.016400348
Q31.047269006
95-th percentile1.14918676
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.04491232951

Descriptive statistics

Standard deviation0.4185118714
Coefficient of variation (CV)0.5007714515
Kurtosis0.2298193949
Mean0.8357342858
Median Absolute Deviation (MAD)0.02137715464
Skewness-1.469834387
Sum125360.1429
Variance0.1751521865
MonotonicityNot monotonic
2024-06-11T19:35:04.433825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29835
 
19.9%
1.164401954 3120
 
2.1%
1.207704776 828
 
0.6%
1.049793044 499
 
0.3%
1.153015916 373
 
0.2%
1.023762432 281
 
0.2%
1.013872843 199
 
0.1%
1.149163881 169
 
0.1%
1.00908403 149
 
0.1%
1.101412779 142
 
0.1%
Other values (105709) 114405
76.3%
ValueCountFrequency (%)
0 29835
19.9%
1.000000525 1
 
< 0.1%
1.000000656 1
 
< 0.1%
1.000001175 1
 
< 0.1%
1.00000145 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 828
0.6%
1.207148005 1
 
< 0.1%
1.206412775 1
 
< 0.1%
1.205922855 1
 
< 0.1%
1.205513204 1
 
< 0.1%

voice_out_short_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1314
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3205866708
Minimum0
Maximum1.480453014
Zeros102476
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:04.503828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000609725
95-th percentile1.011100838
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000609725

Descriptive statistics

Standard deviation0.4714618092
Coefficient of variation (CV)1.470621995
Kurtosis-1.33482968
Mean0.3205866708
Median Absolute Deviation (MAD)0
Skewness0.7994072934
Sum48088.00062
Variance0.2222762375
MonotonicityNot monotonic
2024-06-11T19:35:04.581827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102476
68.3%
1.002923264 871
 
0.6%
1.003675345 853
 
0.6%
1.00757098 852
 
0.6%
1.005491992 843
 
0.6%
1.004165221 836
 
0.6%
1.004760016 830
 
0.6%
1.00908403 829
 
0.6%
1.003267084 828
 
0.6%
1.00238048 813
 
0.5%
Other values (1304) 39969
 
26.6%
ValueCountFrequency (%)
0 102476
68.3%
1.000011148 1
 
< 0.1%
1.00001185 1
 
< 0.1%
1.000014736 1
 
< 0.1%
1.000015439 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 337
0.2%
1.437447952 1
 
< 0.1%
1.383209542 2
 
< 0.1%
1.372416683 1
 
< 0.1%
1.345493163 2
 
< 0.1%

voice_in_fix_tar_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1236
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.07639362
Minimum0
Maximum95.04881632
Zeros132230
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:04.732611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16.30392399
Maximum95.04881632
Range95.04881632
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.001486501
Coefficient of variation (CV)3.371945681
Kurtosis23.028977
Mean2.07639362
Median Absolute Deviation (MAD)0
Skewness4.390692505
Sum311459.043
Variance49.02081322
MonotonicityNot monotonic
2024-06-11T19:35:04.801294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 132230
88.2%
1.480453014 465
 
0.3%
7.964623589 461
 
0.3%
9.027097853 407
 
0.3%
9.354248899 389
 
0.3%
8.687248223 371
 
0.2%
10.26911687 344
 
0.2%
9.974411855 336
 
0.2%
9.669720902 332
 
0.2%
7.174761058 327
 
0.2%
Other values (1226) 14338
 
9.6%
ValueCountFrequency (%)
0 132230
88.2%
1.480453014 465
 
0.3%
2.206948961 105
 
0.1%
2.921812056 123
 
0.1%
3.590290394 148
 
0.1%
ValueCountFrequency (%)
95.04881632 1
< 0.1%
88.82545102 1
< 0.1%
86.57393742 1
< 0.1%
86.42054216 1
< 0.1%
85.15824163 1
< 0.1%

block_all_dur_min_mnt3
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.71721719
Minimum0
Maximum178.2267327
Zeros135929
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:04.859533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.95986752
Coefficient of variation (CV)3.10816489
Kurtosis5.764885608
Mean16.71721719
Median Absolute Deviation (MAD)0
Skewness2.786517356
Sum2507582.578
Variance2699.827832
MonotonicityNot monotonic
2024-06-11T19:35:04.919832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 135929
90.6%
178.2267327 13997
 
9.3%
178.2266446 37
 
< 0.1%
178.2266886 16
 
< 0.1%
160.0296889 1
 
< 0.1%
176.6607593 1
 
< 0.1%
178.2045804 1
 
< 0.1%
169.0649446 1
 
< 0.1%
68.16349392 1
 
< 0.1%
124.6656294 1
 
< 0.1%
Other values (15) 15
 
< 0.1%
ValueCountFrequency (%)
0 135929
90.6%
68.16349392 1
 
< 0.1%
124.6656294 1
 
< 0.1%
142.2982258 1
 
< 0.1%
160.0296889 1
 
< 0.1%
ValueCountFrequency (%)
178.2267327 13997
9.3%
178.2266886 16
 
< 0.1%
178.2266446 37
 
< 0.1%
178.2266006 1
 
< 0.1%
178.2265566 1
 
< 0.1%

pay_sum_max_mnt1
Real number (ℝ)

ZEROS 

Distinct2545
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.79130776
Minimum0
Maximum83.58461201
Zeros51230
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:04.986113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.17967472
Q326.17309696
95-th percentile32.38373528
Maximum83.58461201
Range83.58461201
Interquartile range (IQR)26.17309696

Descriptive statistics

Standard deviation13.02480334
Coefficient of variation (CV)0.7756872497
Kurtosis-1.340126182
Mean16.79130776
Median Absolute Deviation (MAD)5.976218483
Skewness-0.2639005546
Sum2518696.164
Variance169.645502
MonotonicityNot monotonic
2024-06-11T19:35:05.064337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51230
34.2%
22.29933738 9791
 
6.5%
26.17309696 9455
 
6.3%
23.99960696 8120
 
5.4%
24.76754894 6254
 
4.2%
29.12504295 6153
 
4.1%
24.38962268 5154
 
3.4%
31.96388736 4335
 
2.9%
25.49022445 4166
 
2.8%
28.02437138 3185
 
2.1%
Other values (2535) 42157
28.1%
ValueCountFrequency (%)
0 51230
34.2%
1.00908403 1
 
< 0.1%
1.027395029 1
 
< 0.1%
1.03324115 1
 
< 0.1%
1.046272906 1
 
< 0.1%
ValueCountFrequency (%)
83.58461201 1
< 0.1%
78.78284666 1
< 0.1%
72.49599656 2
< 0.1%
68.167564 1
< 0.1%
67.87635859 1
< 0.1%

content_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct196
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.517246871
Minimum0
Maximum64.08676193
Zeros12588
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.127488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.210401996
median7.578965206
Q310.55454345
95-th percentile14.79061749
Maximum64.08676193
Range64.08676193
Interquartile range (IQR)6.344141453

Descriptive statistics

Standard deviation4.36594059
Coefficient of variation (CV)0.5807898377
Kurtosis0.1852797039
Mean7.517246871
Median Absolute Deviation (MAD)2.975578242
Skewness0.2811763658
Sum1127587.031
Variance19.06143723
MonotonicityNot monotonic
2024-06-11T19:35:05.200821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.921812056 13912
 
9.3%
0 12588
 
8.4%
4.786566308 8566
 
5.7%
7.578965206 6842
 
4.6%
5.324077125 5617
 
3.7%
6.30189811 5592
 
3.7%
8.687248223 5134
 
3.4%
3.590290394 5074
 
3.4%
6.749901739 4924
 
3.3%
7.964623589 4832
 
3.2%
Other values (186) 76919
51.3%
ValueCountFrequency (%)
0 12588
8.4%
1.480453014 1977
 
1.3%
2.206948961 1309
 
0.9%
2.921812056 13912
9.3%
3.590290394 5074
 
3.4%
ValueCountFrequency (%)
64.08676193 1
< 0.1%
44.3958152 1
< 0.1%
40.63037403 1
< 0.1%
40.08630216 1
< 0.1%
39.52158473 1
< 0.1%

voice_mts_out_nwork_partstd_mnt1
Real number (ℝ)

ZEROS 

Distinct82632
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6922046142
Minimum0
Maximum1.207704776
Zeros47942
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.276018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.00202964
Q31.011100838
95-th percentile1.057430878
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.011100838

Descriptive statistics

Standard deviation0.4750398265
Coefficient of variation (CV)0.6862708176
Kurtosis-1.40095469
Mean0.6922046142
Median Absolute Deviation (MAD)0.01528898604
Skewness-0.7648896174
Sum103830.6921
Variance0.2256628368
MonotonicityNot monotonic
2024-06-11T19:35:05.350825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47942
32.0%
1.164401954 913
 
0.6%
1.049793044 525
 
0.4%
1.013872843 423
 
0.3%
1.023762432 411
 
0.3%
1.006406835 320
 
0.2%
1.00908403 312
 
0.2%
1.004760016 307
 
0.2%
1.003675345 293
 
0.2%
1.002923264 254
 
0.2%
Other values (82622) 98300
65.5%
ValueCountFrequency (%)
0 47942
32.0%
1.00000036 1
 
< 0.1%
1.000000378 1
 
< 0.1%
1.000000539 1
 
< 0.1%
1.00000066 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 54
< 0.1%
1.206446873 1
 
< 0.1%
1.204409357 1
 
< 0.1%
1.200570991 1
 
< 0.1%
1.199812539 1
 
< 0.1%

com_num_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct91855
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9978688809
Minimum0
Maximum2.206948961
Zeros12245
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.422647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.0059822
median1.033937453
Q31.115449332
95-th percentile1.311348778
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)0.1094671322

Descriptive statistics

Standard deviation0.3144937605
Coefficient of variation (CV)0.3151654155
Kurtosis5.475160433
Mean0.9978688809
Median Absolute Deviation (MAD)0.03317678721
Skewness-2.435560913
Sum149680.3321
Variance0.09890632538
MonotonicityNot monotonic
2024-06-11T19:35:05.490284image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12245
 
8.2%
1.006406835 2066
 
1.4%
1.001666435 1265
 
0.8%
1.023762432 1005
 
0.7%
1.000750704 830
 
0.6%
1.000425155 666
 
0.4%
1.013872843 663
 
0.4%
1.049793044 611
 
0.4%
1.000273218 491
 
0.3%
1.000190256 408
 
0.3%
Other values (91845) 129750
86.5%
ValueCountFrequency (%)
0 12245
8.2%
1.000005061 1
 
< 0.1%
1.000005346 1
 
< 0.1%
1.000005655 1
 
< 0.1%
1.000006361 2
 
< 0.1%
ValueCountFrequency (%)
2.206948961 1
< 0.1%
1.962026024 2
< 0.1%
1.839588705 1
< 0.1%
1.809070771 2
< 0.1%
1.778610665 1
< 0.1%

conn_out_uniq_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct198
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.810996207
Minimum0
Maximum57.19147541
Zeros10613
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.555687image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.210401996
median6.749901739
Q39.354248899
95-th percentile13.43521855
Maximum57.19147541
Range57.19147541
Interquartile range (IQR)5.143846903

Descriptive statistics

Standard deviation3.934384639
Coefficient of variation (CV)0.5776518617
Kurtosis1.036170141
Mean6.810996207
Median Absolute Deviation (MAD)2.539499744
Skewness0.4629722021
Sum1021649.431
Variance15.47938249
MonotonicityNot monotonic
2024-06-11T19:35:05.624217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10613
 
7.1%
5.324077125 7601
 
5.1%
4.786566308 7347
 
4.9%
5.827795843 7222
 
4.8%
6.30189811 7114
 
4.7%
4.210401996 7048
 
4.7%
6.749901739 6941
 
4.6%
3.590290394 6563
 
4.4%
1.480453014 6432
 
4.3%
7.174761058 6307
 
4.2%
Other values (188) 76812
51.2%
ValueCountFrequency (%)
0 10613
7.1%
1.480453014 6432
4.3%
2.206948961 5619
3.7%
2.921812056 6194
4.1%
3.590290394 6563
4.4%
ValueCountFrequency (%)
57.19147541 1
< 0.1%
44.80770573 1
< 0.1%
40.25399929 1
< 0.1%
39.03825967 1
< 0.1%
38.82991442 1
< 0.1%

content_clc_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct684
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04716514819
Minimum0
Maximum17.86398995
Zeros145227
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.692849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17.86398995
Range17.86398995
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3673411754
Coefficient of variation (CV)7.788402867
Kurtosis414.4543196
Mean0.04716514819
Median Absolute Deviation (MAD)0
Skewness16.79054588
Sum7074.772229
Variance0.1349395392
MonotonicityNot monotonic
2024-06-11T19:35:05.766060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145227
96.8%
1.015092528 1004
 
0.7%
1.004008309 773
 
0.5%
1.032057242 287
 
0.2%
1.053939431 237
 
0.2%
1.088758235 174
 
0.1%
1.001034304 146
 
0.1%
1.001666435 139
 
0.1%
1.001474796 98
 
0.1%
1.109461269 65
 
< 0.1%
Other values (674) 1850
 
1.2%
ValueCountFrequency (%)
0 145227
96.8%
1.000377081 1
 
< 0.1%
1.000513386 2
 
< 0.1%
1.000539168 3
 
< 0.1%
1.000565953 3
 
< 0.1%
ValueCountFrequency (%)
17.86398995 1
< 0.1%
16.99950546 1
< 0.1%
14.9433895 1
< 0.1%
14.82609712 1
< 0.1%
13.58458063 1
< 0.1%

Ama_rchrgmnt_sum_min_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.824169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:05.874286image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

abon_part_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.560176308 × 10-5
Minimum0
Maximum1.247861926
Zeros149998
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:05.920854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.247861926
Range1.247861926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004282121369
Coefficient of variation (CV)274.4639401
Kurtosis76309.75495
Mean1.560176308 × 10-5
Median Absolute Deviation (MAD)0
Skewness275.6573763
Sum2.340264462
Variance1.833656342 × 10-5
MonotonicityNot monotonic
2024-06-11T19:35:05.974677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 149998
> 99.9%
1.092402537 1
 
< 0.1%
1.247861926 1
 
< 0.1%
ValueCountFrequency (%)
0 149998
> 99.9%
1.092402537 1
 
< 0.1%
1.247861926 1
 
< 0.1%
ValueCountFrequency (%)
1.247861926 1
 
< 0.1%
1.092402537 1
 
< 0.1%
0 149998
> 99.9%

conn_out_uniq_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct1485
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.698496875
Minimum0
Maximum54.16725683
Zeros10613
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.038726image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.084626173
median4.358354821
Q36.713489503
95-th percentile10.4840209
Maximum54.16725683
Range54.16725683
Interquartile range (IQR)4.62886333

Descriptive statistics

Standard deviation3.245833042
Coefficient of variation (CV)0.6908237098
Kurtosis1.517992063
Mean4.698496875
Median Absolute Deviation (MAD)2.318560415
Skewness0.854044966
Sum704774.5313
Variance10.53543214
MonotonicityNot monotonic
2024-06-11T19:35:06.188870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10613
 
7.1%
1.006406835 2877
 
1.9%
1.023762432 1989
 
1.3%
1.049793044 1551
 
1.0%
1.082760975 1414
 
0.9%
1.121317553 1205
 
0.8%
1.164401954 1196
 
0.8%
1.480453014 1139
 
0.8%
1.211169962 1069
 
0.7%
1.260942818 1055
 
0.7%
Other values (1475) 125892
83.9%
ValueCountFrequency (%)
0 10613
7.1%
1.006406835 2877
 
1.9%
1.00757098 35
 
< 0.1%
1.00908403 26
 
< 0.1%
1.011100838 62
 
< 0.1%
ValueCountFrequency (%)
54.16725683 1
< 0.1%
35.18084635 1
< 0.1%
33.4696135 1
< 0.1%
33.05272575 1
< 0.1%
32.14103935 1
< 0.1%

gprs_clc_std_mnt3
Real number (ℝ)

ZEROS 

Distinct974
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2491035199
Minimum0
Maximum25.0831094
Zeros137983
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.257676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.901723775
Maximum25.0831094
Range25.0831094
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.013960447
Coefficient of variation (CV)4.070438054
Kurtosis48.8134505
Mean0.2491035199
Median Absolute Deviation (MAD)0
Skewness5.930193678
Sum37365.52798
Variance1.028115787
MonotonicityNot monotonic
2024-06-11T19:35:06.329539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137983
92.0%
1.901723775 5507
 
3.7%
3.038469295 1150
 
0.8%
4.062109019 460
 
0.3%
2.30687417 428
 
0.3%
3.203303805 372
 
0.2%
2.30687417 314
 
0.2%
4.972646439 238
 
0.2%
2.399310608 195
 
0.1%
4.133911323 141
 
0.1%
Other values (964) 3212
 
2.1%
ValueCountFrequency (%)
0 137983
92.0%
1.001190308 1
 
< 0.1%
1.04120193 2
 
< 0.1%
1.041422189 1
 
< 0.1%
1.041431776 28
 
< 0.1%
ValueCountFrequency (%)
25.0831094 1
< 0.1%
20.29506878 1
< 0.1%
19.53977115 1
< 0.1%
19.32658513 1
< 0.1%
18.91827567 1
< 0.1%

voice_out_short_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct812
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08138677691
Minimum0
Maximum1.480453014
Zeros137813
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.397787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.00029222
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2737031896
Coefficient of variation (CV)3.362993351
Kurtosis7.404912411
Mean0.08138677691
Median Absolute Deviation (MAD)0
Skewness3.066259594
Sum12208.01654
Variance0.07491343599
MonotonicityNot monotonic
2024-06-11T19:35:06.470736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137813
91.9%
1.000528518 170
 
0.1%
1.000505029 154
 
0.1%
1.000750704 154
 
0.1%
1.000640991 154
 
0.1%
1.000793598 147
 
0.1%
1.000462517 144
 
0.1%
1.000609725 144
 
0.1%
1.000483072 139
 
0.1%
1.000553684 139
 
0.1%
Other values (802) 10842
 
7.2%
ValueCountFrequency (%)
0 137813
91.9%
1.000007324 1
 
< 0.1%
1.000008676 1
 
< 0.1%
1.000008831 1
 
< 0.1%
1.000011074 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2
< 0.1%
1.372416683 1
 
< 0.1%
1.260942818 3
< 0.1%
1.220903412 2
< 0.1%
1.191282433 1
 
< 0.1%

all_cnt_std_mnt1
Real number (ℝ)

Distinct28755
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.66276166
Minimum0
Maximum86.17425501
Zeros875
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.543999image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.165140926
Q17.527839574
median10.60767276
Q314.60561416
95-th percentile22.8180381
Maximum86.17425501
Range86.17425501
Interquartile range (IQR)7.077774586

Descriptive statistics

Standard deviation6.000242836
Coefficient of variation (CV)0.5144787325
Kurtosis4.462477026
Mean11.66276166
Median Absolute Deviation (MAD)3.439193421
Skewness1.395803018
Sum1749414.249
Variance36.00291409
MonotonicityNot monotonic
2024-06-11T19:35:06.610101image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 875
 
0.6%
5.167635303 178
 
0.1%
5.731972983 176
 
0.1%
5.794526111 175
 
0.1%
5.534728522 175
 
0.1%
6.544636794 170
 
0.1%
4.205419201 165
 
0.1%
6.711495489 163
 
0.1%
4.73583039 159
 
0.1%
5.004090188 159
 
0.1%
Other values (28745) 147605
98.4%
ValueCountFrequency (%)
0 875
0.6%
1.164401954 142
 
0.1%
1.207704776 38
 
< 0.1%
1.356301179 34
 
< 0.1%
1.45108808 71
 
< 0.1%
ValueCountFrequency (%)
86.17425501 1
< 0.1%
85.10461145 1
< 0.1%
78.09052192 1
< 0.1%
77.58334353 1
< 0.1%
73.76853564 1
< 0.1%

conn_com_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct8896
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7643534215
Minimum0
Maximum1.480453014
Zeros46323
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.675438image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.007911655
Q31.082760975
95-th percentile1.411121335
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.082760975

Descriptive statistics

Standard deviation0.5240112141
Coefficient of variation (CV)0.6855614162
Kurtosis-1.285699542
Mean0.7643534215
Median Absolute Deviation (MAD)0.126776484
Skewness-0.6509497649
Sum114653.0132
Variance0.2745877525
MonotonicityNot monotonic
2024-06-11T19:35:06.746385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46323
30.9%
1.480453014 5412
 
3.6%
1.164401954 2010
 
1.3%
1.082760975 1631
 
1.1%
1.049793044 1364
 
0.9%
1.03324115 1215
 
0.8%
1.023762432 1157
 
0.8%
1.260942818 1006
 
0.7%
1.017830633 979
 
0.7%
1.013872843 875
 
0.6%
Other values (8886) 88028
58.7%
ValueCountFrequency (%)
0 46323
30.9%
1.000004106 1
 
< 0.1%
1.000004441 1
 
< 0.1%
1.000005248 1
 
< 0.1%
1.000006558 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 5412
3.6%
1.476936486 1
 
< 0.1%
1.476652058 1
 
< 0.1%
1.476517167 1
 
< 0.1%
1.476354251 2
 
< 0.1%

com_num_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1826
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.130500299
Minimum0
Maximum2.206948961
Zeros12245
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.818459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.049793044
median1.164401954
Q31.331043899
95-th percentile1.480453014
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)0.2812508547

Descriptive statistics

Standard deviation0.3910828352
Coefficient of variation (CV)0.3459378432
Kurtosis3.518140113
Mean1.130500299
Median Absolute Deviation (MAD)0.1267053959
Skewness-1.544830493
Sum169575.0449
Variance0.1529457839
MonotonicityNot monotonic
2024-06-11T19:35:06.885701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 20932
 
14.0%
0 12245
 
8.2%
1.164401954 12175
 
8.1%
1.082760975 7059
 
4.7%
1.260942818 5841
 
3.9%
1.049793044 4662
 
3.1%
1.113213566 3357
 
2.2%
1.03324115 3215
 
2.1%
1.31316983 3164
 
2.1%
1.220903412 2748
 
1.8%
Other values (1816) 74602
49.7%
ValueCountFrequency (%)
0 12245
8.2%
1.000116038 1
 
< 0.1%
1.000302473 1
 
< 0.1%
1.000408149 1
 
< 0.1%
1.000609725 1
 
< 0.1%
ValueCountFrequency (%)
2.206948961 1387
0.9%
2.060116144 4
 
< 0.1%
2.023336405 23
 
< 0.1%
1.962026024 123
 
0.1%
1.93973744 2
 
< 0.1%

voice_out_fix_tar_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.400148516
Minimum0
Maximum88.65244836
Zeros127524
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:06.951853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33.57110757
Maximum88.65244836
Range88.65244836
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.22702537
Coefficient of variation (CV)2.551510552
Kurtosis5.961577305
Mean4.400148516
Median Absolute Deviation (MAD)0
Skewness2.568981264
Sum660022.2773
Variance126.0460986
MonotonicityNot monotonic
2024-06-11T19:35:07.020315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127524
85.0%
17.89928393 5883
 
3.9%
23.99960696 4221
 
2.8%
28.02437138 2769
 
1.8%
31.0829974 2026
 
1.4%
33.57110757 1435
 
1.0%
35.67888361 1054
 
0.7%
37.51341156 872
 
0.6%
39.14133654 739
 
0.5%
40.60712622 531
 
0.4%
Other values (93) 2946
 
2.0%
ValueCountFrequency (%)
0 127524
85.0%
17.89928393 5883
 
3.9%
23.99960696 4221
 
2.8%
28.02437138 2769
 
1.8%
31.0829974 2026
 
1.4%
ValueCountFrequency (%)
88.65244836 1
< 0.1%
85.42296424 1
< 0.1%
85.19626803 1
< 0.1%
84.14402818 1
< 0.1%
82.39141395 1
< 0.1%

pay_p2p_out_sum_mea_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct121
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03502387962
Minimum-55.83461195
Maximum0
Zeros149389
Zeros (%)99.6%
Negative611
Negative (%)0.4%
Memory size1.1 MiB
2024-06-11T19:35:07.086080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-55.83461195
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range55.83461195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7143728338
Coefficient of variation (CV)-20.39673621
Kurtosis1325.354975
Mean-0.03502387962
Median Absolute Deviation (MAD)0
Skewness-30.8793136
Sum-5253.581943
Variance0.5103285457
MonotonicityNot monotonic
2024-06-11T19:35:07.154654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149389
99.6%
-2.569415055 79
 
0.1%
-4.210401996 57
 
< 0.1%
-5.579883184 36
 
< 0.1%
-7.773993599 34
 
< 0.1%
-1.657607816 31
 
< 0.1%
-11.61519305 28
 
< 0.1%
-3.427814651 27
 
< 0.1%
-6.749901739 18
 
< 0.1%
-14.32730559 18
 
< 0.1%
Other values (111) 283
 
0.2%
ValueCountFrequency (%)
-55.83461195 1
< 0.1%
-51.68345039 1
< 0.1%
-50.41740824 1
< 0.1%
-39.26917714 1
< 0.1%
-36.9797951 1
< 0.1%
ValueCountFrequency (%)
0 149389
99.6%
-1.000000001 1
 
< 0.1%
-1.049793044 4
 
< 0.1%
-1.164401954 5
 
< 0.1%
-1.31316983 4
 
< 0.1%

abon_part_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.374419469 × 10-5
Minimum0
Maximum1.480453014
Zeros149992
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:07.209174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01014439876
Coefficient of variation (CV)137.561998
Kurtosis19354.43306
Mean7.374419469 × 10-5
Median Absolute Deviation (MAD)0
Skewness138.6547523
Sum11.0616292
Variance0.0001029088262
MonotonicityNot monotonic
2024-06-11T19:35:07.261962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 149992
> 99.9%
1.480453014 3
 
< 0.1%
1.462337126 2
 
< 0.1%
1.092402537 1
 
< 0.1%
1.260961304 1
 
< 0.1%
1.342232068 1
 
< 0.1%
ValueCountFrequency (%)
0 149992
> 99.9%
1.092402537 1
 
< 0.1%
1.260961304 1
 
< 0.1%
1.342232068 1
 
< 0.1%
1.462337126 2
 
< 0.1%
ValueCountFrequency (%)
1.480453014 3
< 0.1%
1.462337126 2
< 0.1%
1.342232068 1
 
< 0.1%
1.260961304 1
 
< 0.1%
1.092402537 1
 
< 0.1%

accum_mts_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct895
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005680583731
Minimum-1
Maximum1.000819467
Zeros124736
Zeros (%)83.2%
Negative12206
Negative (%)8.1%
Memory size1.1 MiB
2024-06-11T19:35:07.410255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile1.000000435
Maximum1.000819467
Range2.000819467
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4103616549
Coefficient of variation (CV)72.23934622
Kurtosis2.936312794
Mean0.005680583731
Median Absolute Deviation (MAD)0
Skewness0.04069066175
Sum852.0875596
Variance0.1683966878
MonotonicityNot monotonic
2024-06-11T19:35:07.485415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 124736
83.2%
-1 8384
 
5.6%
-1 1913
 
1.3%
1.000000004 923
 
0.6%
-1 780
 
0.5%
1.000000014 712
 
0.5%
1.000000032 558
 
0.4%
1.000000058 493
 
0.3%
-1 450
 
0.3%
1.00000009 434
 
0.3%
Other values (885) 10617
 
7.1%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 3
 
< 0.1%
-1 4
 
< 0.1%
-1 7
 
< 0.1%
-1 197
0.1%
ValueCountFrequency (%)
1.000819467 1
< 0.1%
1.000593451 1
< 0.1%
1.000429475 1
< 0.1%
1.000384416 1
< 0.1%
1.000287487 1
< 0.1%

content_clc_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001056426247
Minimum0
Maximum15.20819471
Zeros149968
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:07.548770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15.20819471
Range15.20819471
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09342926963
Coefficient of variation (CV)88.4389894
Kurtosis14212.29203
Mean0.001056426247
Median Absolute Deviation (MAD)0
Skewness112.4748562
Sum158.463937
Variance0.008729028424
MonotonicityNot monotonic
2024-06-11T19:35:07.608633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 149968
> 99.9%
1.109485035 5
 
< 0.1%
3.281880578 3
 
< 0.1%
2.782227848 2
 
< 0.1%
9.55963433 2
 
< 0.1%
3.539668309 2
 
< 0.1%
5.7508689 2
 
< 0.1%
1.335336222 2
 
< 0.1%
10.38213054 1
 
< 0.1%
8.375893519 1
 
< 0.1%
Other values (12) 12
 
< 0.1%
ValueCountFrequency (%)
0 149968
> 99.9%
1.109485035 5
 
< 0.1%
1.148322296 1
 
< 0.1%
1.334752185 1
 
< 0.1%
1.335336222 2
 
< 0.1%
ValueCountFrequency (%)
15.20819471 1
< 0.1%
13.89996724 1
< 0.1%
12.39323838 1
< 0.1%
10.38213054 1
< 0.1%
9.55963433 2
< 0.1%

voice_out_fix_tar_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct730
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.358384389
Minimum0
Maximum73.1953774
Zeros127529
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:07.674551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24.38194055
Maximum73.1953774
Range73.1953774
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.69265738
Coefficient of variation (CV)2.588344981
Kurtosis6.911727167
Mean3.358384389
Median Absolute Deviation (MAD)0
Skewness2.69295243
Sum503757.6584
Variance75.56229232
MonotonicityNot monotonic
2024-06-11T19:35:07.746231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127529
85.0%
12.79226812 5439
 
3.6%
17.89928393 3349
 
2.2%
21.34785349 2223
 
1.5%
23.99960696 1319
 
0.9%
26.17309696 869
 
0.6%
28.02437138 660
 
0.4%
17.54941206 611
 
0.4%
13.76988162 461
 
0.3%
29.64238548 458
 
0.3%
Other values (720) 7082
 
4.7%
ValueCountFrequency (%)
0 127529
85.0%
12.79226812 5439
 
3.6%
13.76988162 461
 
0.3%
16.30232696 79
 
0.1%
17.54941206 611
 
0.4%
ValueCountFrequency (%)
73.1953774 1
< 0.1%
72.68792125 1
< 0.1%
70.40609387 1
< 0.1%
68.59713571 1
< 0.1%
68.01414911 1
< 0.1%

voice_mts_out_nwork_partmin_mnt1
Real number (ℝ)

ZEROS 

Distinct8697
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2807229462
Minimum0
Maximum1.480453014
Zeros108249
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:07.817601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000124843
95-th percentile1.012570289
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000124843

Descriptive statistics

Standard deviation0.4521283734
Coefficient of variation (CV)1.610585738
Kurtosis-1.015170409
Mean0.2807229462
Median Absolute Deviation (MAD)0
Skewness0.9908867801
Sum42108.44193
Variance0.2044200661
MonotonicityNot monotonic
2024-06-11T19:35:07.889443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 108249
72.2%
1.00238048 201
 
0.1%
1.001975959 195
 
0.1%
1.001666435 191
 
0.1%
1.002923264 187
 
0.1%
1.001811321 184
 
0.1%
1.001231401 184
 
0.1%
1.004165221 180
 
0.1%
1.002631002 178
 
0.1%
1.003675345 173
 
0.1%
Other values (8687) 40078
 
26.7%
ValueCountFrequency (%)
0 108249
72.2%
1.000000693 1
 
< 0.1%
1.000001379 1
 
< 0.1%
1.000001809 1
 
< 0.1%
1.000002091 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.41812669 1
< 0.1%
1.351724578 1
< 0.1%
1.346786921 1
< 0.1%
1.329428547 1
< 0.1%

vas_clc_max_mnt3
Real number (ℝ)

ZEROS 

Distinct4813
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.755599499
Minimum0
Maximum62.86542916
Zeros63561
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:07.959796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.604773951
Q37.639986458
95-th percentile22.19111282
Maximum62.86542916
Range62.86542916
Interquartile range (IQR)7.639986458

Descriptive statistics

Standard deviation8.185094746
Coefficient of variation (CV)1.422109851
Kurtosis4.113284761
Mean5.755599499
Median Absolute Deviation (MAD)1.604773951
Skewness1.838637706
Sum863339.9249
Variance66.995776
MonotonicityNot monotonic
2024-06-11T19:35:08.029742image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63561
42.4%
4.497536115 15374
 
10.2%
1.604773951 7505
 
5.0%
7.165976416 5933
 
4.0%
22.11876484 5879
 
3.9%
1.604273725 4321
 
2.9%
9.181785673 3198
 
2.1%
20.13969538 2870
 
1.9%
10.81975628 2358
 
1.6%
12.20938997 1506
 
1.0%
Other values (4803) 37495
25.0%
ValueCountFrequency (%)
0 63561
42.4%
1.000060369 7
 
< 0.1%
1.000095107 38
 
< 0.1%
1.000196043 7
 
< 0.1%
1.018881881 1
 
< 0.1%
ValueCountFrequency (%)
62.86542916 1
 
< 0.1%
62.76573354 4
< 0.1%
62.38074321 1
 
< 0.1%
61.81226865 1
 
< 0.1%
61.63584073 1
 
< 0.1%

sms_roam_clc_mea_wk1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:08.085422image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:08.133313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

pay_avg_std_mnt1
Real number (ℝ)

ZEROS 

Distinct8736
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.12116217
Minimum0
Maximum61.25789741
Zeros51713
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:08.192244image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.45925281
Q319.75525126
95-th percentile24.76754894
Maximum61.25789741
Range61.25789741
Interquartile range (IQR)19.75525126

Descriptive statistics

Standard deviation9.687876284
Coefficient of variation (CV)0.799253087
Kurtosis-1.228809941
Mean12.12116217
Median Absolute Deviation (MAD)5.840084579
Skewness-0.139568137
Sum1818174.326
Variance93.85494689
MonotonicityNot monotonic
2024-06-11T19:35:08.262121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51713
34.5%
16.45925281 8851
 
5.9%
19.75525126 8227
 
5.5%
17.89928393 7463
 
5.0%
18.55320686 5584
 
3.7%
22.29933738 4808
 
3.2%
18.2311323 4709
 
3.1%
24.76754894 3733
 
2.5%
19.17043973 3692
 
2.5%
21.34785349 2673
 
1.8%
Other values (8726) 48547
32.4%
ValueCountFrequency (%)
0 51713
34.5%
1.00238048 1
 
< 0.1%
1.007426595 1
 
< 0.1%
1.00908403 1
 
< 0.1%
1.012843391 1
 
< 0.1%
ValueCountFrequency (%)
61.25789741 1
< 0.1%
57.02418135 1
< 0.1%
56.77016268 1
< 0.1%
56.33829835 1
< 0.1%
54.36309795 1
< 0.1%

content_clc_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.314806164 × 10-5
Minimum0
Maximum1.604916881
Zeros149996
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:08.316421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.604916881
Range1.604916881
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006509579572
Coefficient of variation (CV)196.3788906
Kurtosis42334.66725
Mean3.314806164 × 10-5
Median Absolute Deviation (MAD)0
Skewness202.5103475
Sum4.972209247
Variance4.23746262 × 10-5
MonotonicityNot monotonic
2024-06-11T19:35:08.369341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 149996
> 99.9%
1.109485035 2
 
< 0.1%
1.148322296 1
 
< 0.1%
1.604916881 1
 
< 0.1%
ValueCountFrequency (%)
0 149996
> 99.9%
1.109485035 2
 
< 0.1%
1.148322296 1
 
< 0.1%
1.604916881 1
 
< 0.1%
ValueCountFrequency (%)
1.604916881 1
 
< 0.1%
1.148322296 1
 
< 0.1%
1.109485035 2
 
< 0.1%
0 149996
> 99.9%

pay_p2p_out_sum_mea_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct229
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04773497407
Minimum-57.70745562
Maximum0
Zeros148548
Zeros (%)99.0%
Negative1452
Negative (%)1.0%
Memory size1.1 MiB
2024-06-11T19:35:08.434984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-57.70745562
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range57.70745562
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6950526348
Coefficient of variation (CV)-14.56065806
Kurtosis1165.03282
Mean-0.04773497407
Median Absolute Deviation (MAD)0
Skewness-27.24057086
Sum-7160.246111
Variance0.4830981651
MonotonicityNot monotonic
2024-06-11T19:35:08.505990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148548
99.0%
-1.367400612 168
 
0.1%
-1.962026024 134
 
0.1%
-2.569415055 80
 
0.1%
-5.988934212 68
 
< 0.1%
-3.696911934 67
 
< 0.1%
-1.121317553 63
 
< 0.1%
-1.657607816 51
 
< 0.1%
-3.150144399 47
 
< 0.1%
-4.210401996 37
 
< 0.1%
Other values (219) 737
 
0.5%
ValueCountFrequency (%)
-57.70745562 1
< 0.1%
-45.02562336 1
< 0.1%
-43.33170796 1
< 0.1%
-40.78635977 1
< 0.1%
-40.72300595 1
< 0.1%
ValueCountFrequency (%)
0 148548
99.0%
-1 1
 
< 0.1%
-1.006406835 3
 
< 0.1%
-1.023762432 13
 
< 0.1%
-1.049793044 9
 
< 0.1%

data_3g_tar_vol_std_mnt1
Real number (ℝ)

ZEROS 

Distinct94560
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.13863092
Minimum0
Maximum314.250492
Zeros52992
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:08.576181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97.79235762
Q3163.6495712
95-th percentile211.0741729
Maximum314.250492
Range314.250492
Interquartile range (IQR)163.6495712

Descriptive statistics

Standard deviation81.61902177
Coefficient of variation (CV)0.9156414108
Kurtosis-1.53812661
Mean89.13863092
Median Absolute Deviation (MAD)91.62504894
Skewness0.1395125732
Sum13370794.64
Variance6661.664714
MonotonicityNot monotonic
2024-06-11T19:35:08.645342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52992
35.3%
1.164401954 206
 
0.1%
16.45925281 148
 
0.1%
1.480453014 109
 
0.1%
1.839588705 82
 
0.1%
2.206948961 79
 
0.1%
2.569415055 73
 
< 0.1%
22.29933738 51
 
< 0.1%
2.921812056 45
 
< 0.1%
3.590290394 42
 
< 0.1%
Other values (94550) 96173
64.1%
ValueCountFrequency (%)
0 52992
35.3%
1.00037415 6
 
< 0.1%
1.000451853 3
 
< 0.1%
1.000628687 30
 
< 0.1%
1.000727736 1
 
< 0.1%
ValueCountFrequency (%)
314.250492 1
< 0.1%
302.4002721 1
< 0.1%
301.5387784 1
< 0.1%
300.1520269 1
< 0.1%
299.6713729 1
< 0.1%

vas_clc_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct287
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05846481119
Minimum0
Maximum52.06788685
Zeros147445
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:08.715247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum52.06788685
Range52.06788685
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6581819733
Coefficient of variation (CV)11.25774564
Kurtosis717.0925992
Mean0.05846481119
Median Absolute Deviation (MAD)0
Skewness21.4214821
Sum8769.721679
Variance0.43320351
MonotonicityNot monotonic
2024-06-11T19:35:08.787796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147445
98.3%
1.604773951 523
 
0.3%
1.604273725 459
 
0.3%
1.169725207 262
 
0.2%
2.46360592 131
 
0.1%
4.497536115 109
 
0.1%
2.462595556 99
 
0.1%
3.281747174 67
 
< 0.1%
3.280346311 60
 
< 0.1%
2.463172916 46
 
< 0.1%
Other values (277) 799
 
0.5%
ValueCountFrequency (%)
0 147445
98.3%
1.021015075 1
 
< 0.1%
1.021216128 32
 
< 0.1%
1.065158781 1
 
< 0.1%
1.074404269 12
 
< 0.1%
ValueCountFrequency (%)
52.06788685 1
< 0.1%
32.11195452 1
< 0.1%
28.31281606 1
< 0.1%
27.51750585 1
< 0.1%
26.44872941 1
< 0.1%

sms_in_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct451
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.481832827
Minimum0
Maximum53.91805285
Zeros28267
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:08.944023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.049793044
median1.657607816
Q33.262248815
95-th percentile7.677043351
Maximum53.91805285
Range53.91805285
Interquartile range (IQR)2.212455771

Descriptive statistics

Standard deviation2.648769853
Coefficient of variation (CV)1.067263606
Kurtosis13.10245342
Mean2.481832827
Median Absolute Deviation (MAD)1.089430685
Skewness2.630423055
Sum372274.924
Variance7.015981734
MonotonicityNot monotonic
2024-06-11T19:35:09.014198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28267
18.8%
1.049793044 13042
 
8.7%
1.164401954 11269
 
7.5%
1.31316983 9540
 
6.4%
1.480453014 8296
 
5.5%
1.657607816 7139
 
4.8%
1.839588705 6211
 
4.1%
2.023336405 5459
 
3.6%
2.206948961 4849
 
3.2%
2.3892276 4306
 
2.9%
Other values (441) 51622
34.4%
ValueCountFrequency (%)
0 28267
18.8%
1.049793044 13042
8.7%
1.164401954 11269
 
7.5%
1.31316983 9540
 
6.4%
1.480453014 8296
 
5.5%
ValueCountFrequency (%)
53.91805285 1
< 0.1%
40.91796818 1
< 0.1%
40.57801558 1
< 0.1%
39.80662927 1
< 0.1%
36.69399953 1
< 0.1%

goodok_clc_max_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:09.067514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:09.115021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

com_num_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct97831
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1588127114
Minimum-1.021441345
Maximum1.046710439
Zeros12462
Zeros (%)8.3%
Negative56879
Negative (%)37.9%
Memory size1.1 MiB
2024-06-11T19:35:09.175974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.021441345
5-th percentile-1.000603222
Q1-1.000022359
median1.000001552
Q31.00014795
95-th percentile1.002127295
Maximum1.046710439
Range2.068151783
Interquartile range (IQR)2.000170309

Descriptive statistics

Standard deviation0.9448700586
Coefficient of variation (CV)5.949587096
Kurtosis-1.802035843
Mean0.1588127114
Median Absolute Deviation (MAD)0.002842627393
Skewness-0.3200541501
Sum23821.90671
Variance0.8927794276
MonotonicityNot monotonic
2024-06-11T19:35:09.243562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12462
 
8.3%
1.000012183 466
 
0.3%
-1.000012183 399
 
0.3%
1.000108887 391
 
0.3%
1.001424332 330
 
0.2%
1.00095998 296
 
0.2%
-1.000108887 294
 
0.2%
1.000300379 274
 
0.2%
1.000003051 269
 
0.2%
1.000584711 269
 
0.2%
Other values (97821) 134550
89.7%
ValueCountFrequency (%)
-1.021441345 1
< 0.1%
-1.021352973 1
< 0.1%
-1.019618468 1
< 0.1%
-1.019054363 1
< 0.1%
-1.018359232 1
< 0.1%
ValueCountFrequency (%)
1.046710439 1
< 0.1%
1.040780306 2
< 0.1%
1.035742357 1
< 0.1%
1.034904592 1
< 0.1%
1.034634058 2
< 0.1%

all_home_clc_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct31774
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.618387762
Minimum0
Maximum51.31406352
Zeros55301
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:09.310720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.053927157
Q31.918619189
95-th percentile6.220263244
Maximum51.31406352
Range51.31406352
Interquartile range (IQR)1.918619189

Descriptive statistics

Standard deviation2.314292686
Coefficient of variation (CV)1.42999888
Kurtosis15.09941428
Mean1.618387762
Median Absolute Deviation (MAD)1.053927157
Skewness3.070044424
Sum242758.1643
Variance5.355950638
MonotonicityNot monotonic
2024-06-11T19:35:09.382829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55301
36.9%
1.008746121 5039
 
3.4%
1.1418941 4074
 
2.7%
1.008736187 2094
 
1.4%
1.032054747 1844
 
1.2%
1.422065134 1738
 
1.2%
1.252922906 1563
 
1.0%
1.746290425 900
 
0.6%
1.066468818 893
 
0.6%
1.032019827 877
 
0.6%
Other values (31764) 75677
50.5%
ValueCountFrequency (%)
0 55301
36.9%
1 484
 
0.3%
1 1
 
< 0.1%
1 207
 
0.1%
1.000000001 100
 
0.1%
ValueCountFrequency (%)
51.31406352 1
< 0.1%
40.14232019 1
< 0.1%
31.2078762 1
< 0.1%
28.67743786 1
< 0.1%
28.13071954 1
< 0.1%

voice_in_short_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1208
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.774706648
Minimum0
Maximum1.480453014
Zeros36795
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:09.451048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000282479
median1.002923264
Q31.010016699
95-th percentile1.082760975
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.009734219451

Descriptive statistics

Standard deviation0.4464501388
Coefficient of variation (CV)0.576282829
Kurtosis-0.6004508336
Mean0.774706648
Median Absolute Deviation (MAD)0.006160765958
Skewness-1.092294041
Sum116205.9972
Variance0.1993177264
MonotonicityNot monotonic
2024-06-11T19:35:09.523381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36795
24.5%
1.00908403 3689
 
2.5%
1.011100838 3656
 
2.4%
1.013872843 3641
 
2.4%
1.017830633 3611
 
2.4%
1.00757098 3536
 
2.4%
1.023762432 3515
 
2.3%
1.03324115 3472
 
2.3%
1.006406835 3424
 
2.3%
1.005491992 3370
 
2.2%
Other values (1198) 81291
54.2%
ValueCountFrequency (%)
0 36795
24.5%
1.000020755 1
 
< 0.1%
1.00003882 1
 
< 0.1%
1.000043 1
 
< 0.1%
1.000047236 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2430
1.6%
1.395148847 1
 
< 0.1%
1.383209542 5
 
< 0.1%
1.375897095 1
 
< 0.1%
1.367400612 3
 
< 0.1%

pay_max_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1591
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.51978719
Minimum0
Maximum72.49599656
Zeros51230
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:09.594399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.29933738
Q326.17309696
95-th percentile31.96388736
Maximum72.49599656
Range72.49599656
Interquartile range (IQR)26.17309696

Descriptive statistics

Standard deviation12.80889935
Coefficient of variation (CV)0.7753670919
Kurtosis-1.36376565
Mean16.51978719
Median Absolute Deviation (MAD)6.825705563
Skewness-0.2741125906
Sum2477968.079
Variance164.0679027
MonotonicityNot monotonic
2024-06-11T19:35:09.669838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51230
34.2%
22.29933738 11052
 
7.4%
26.17309696 9905
 
6.6%
23.99960696 8814
 
5.9%
24.76754894 6502
 
4.3%
29.12504295 6298
 
4.2%
24.38962268 5488
 
3.7%
31.96388736 4639
 
3.1%
25.49022445 4248
 
2.8%
28.02437138 3378
 
2.3%
Other values (1581) 38446
25.6%
ValueCountFrequency (%)
0 51230
34.2%
1.00908403 1
 
< 0.1%
1.027395029 1
 
< 0.1%
1.03324115 1
 
< 0.1%
1.046272906 1
 
< 0.1%
ValueCountFrequency (%)
72.49599656 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%
65.37213434 1
< 0.1%

sms_clc_std_mnt1
Real number (ℝ)

ZEROS 

Distinct1296
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.281748868
Minimum0
Maximum26.61147654
Zeros122136
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:09.742321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.569106524
Maximum26.61147654
Range26.61147654
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.728690447
Coefficient of variation (CV)2.586311889
Kurtosis141.6034691
Mean0.281748868
Median Absolute Deviation (MAD)0
Skewness7.494815706
Sum42262.3302
Variance0.5309897676
MonotonicityNot monotonic
2024-06-11T19:35:09.813428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122136
81.4%
1.213999962 8910
 
5.9%
1.213796097 5640
 
3.8%
1.268649845 1639
 
1.1%
1.604559563 1209
 
0.8%
1.268400379 1198
 
0.8%
1.604773951 930
 
0.6%
1.569106524 783
 
0.5%
1.604273725 660
 
0.4%
1.568630991 545
 
0.4%
Other values (1286) 6350
 
4.2%
ValueCountFrequency (%)
0 122136
81.4%
1.000000122 2
 
< 0.1%
1.00000016 1
 
< 0.1%
1.001474796 1
 
< 0.1%
1.0050501 1
 
< 0.1%
ValueCountFrequency (%)
26.61147654 1
< 0.1%
26.44737534 1
< 0.1%
24.05902071 1
< 0.1%
23.41214637 1
< 0.1%
22.32041441 1
< 0.1%

pay_max_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct3048
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.317994798
Minimum-29.76860007
Maximum57.50085858
Zeros51227
Zeros (%)34.2%
Negative6
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:09.882152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-29.76860007
5-th percentile0
Q10
median12.22185739
Q314.32730559
95-th percentile19.6983809
Maximum57.50085858
Range87.26945865
Interquartile range (IQR)14.32730559

Descriptive statistics

Standard deviation7.559033457
Coefficient of variation (CV)0.8112296283
Kurtosis-0.8824089972
Mean9.317994798
Median Absolute Deviation (MAD)4.642892188
Skewness0.004332366848
Sum1397699.22
Variance57.1389868
MonotonicityNot monotonic
2024-06-11T19:35:09.949889image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51227
34.2%
11.61519305 9855
 
6.6%
14.32730559 8841
 
5.9%
12.79226812 8158
 
5.4%
13.33095137 5953
 
4.0%
16.45925281 5707
 
3.8%
13.0653276 5026
 
3.4%
18.55320686 4205
 
2.8%
13.84160798 3954
 
2.6%
15.65849494 3065
 
2.0%
Other values (3038) 44009
29.3%
ValueCountFrequency (%)
-29.76860007 1
< 0.1%
-25.6921398 1
< 0.1%
-19.84323107 1
< 0.1%
-7.081050652 1
< 0.1%
-5.579883184 1
< 0.1%
ValueCountFrequency (%)
57.50085858 1
< 0.1%
51.86112364 1
< 0.1%
51.83259514 1
< 0.1%
50.98312019 1
< 0.1%
47.13594282 1
< 0.1%

accum_mts_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct24136
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05853334036
Minimum-1.000043371
Maximum1.000015407
Zeros70652
Zeros (%)47.1%
Negative44064
Negative (%)29.4%
Memory size1.1 MiB
2024-06-11T19:35:10.016819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000043371
5-th percentile-1.000000077
Q1-1
median0
Q30
95-th percentile1.000000041
Maximum1.000015407
Range2.000058777
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7249580052
Coefficient of variation (CV)-12.38538585
Kurtosis-1.095236247
Mean-0.05853334036
Median Absolute Deviation (MAD)1
Skewness0.08912141984
Sum-8780.001054
Variance0.5255641094
MonotonicityNot monotonic
2024-06-11T19:35:10.093674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70652
47.1%
1 2466
 
1.6%
-1 2313
 
1.5%
-1 1325
 
0.9%
-1 1302
 
0.9%
1 1258
 
0.8%
1 1153
 
0.8%
1 1104
 
0.7%
-1 1101
 
0.7%
-1 1066
 
0.7%
Other values (24126) 66260
44.2%
ValueCountFrequency (%)
-1.000043371 1
< 0.1%
-1.000015491 1
< 0.1%
-1.000013611 1
< 0.1%
-1.000013416 1
< 0.1%
-1.000013298 1
< 0.1%
ValueCountFrequency (%)
1.000015407 1
< 0.1%
1.000011276 1
< 0.1%
1.000007725 1
< 0.1%
1.000007484 1
< 0.1%
1.000006385 1
< 0.1%

gprs_clc_max_mnt3
Real number (ℝ)

ZEROS 

Distinct248
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5357200013
Minimum0
Maximum34.0820661
Zeros137983
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:10.162775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.497536115
Maximum34.0820661
Range34.0820661
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.06872355
Coefficient of variation (CV)3.861576094
Kurtosis30.12047532
Mean0.5357200013
Median Absolute Deviation (MAD)0
Skewness4.925971213
Sum80358.00019
Variance4.279617125
MonotonicityNot monotonic
2024-06-11T19:35:10.327253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137983
92.0%
4.497536115 6561
 
4.4%
7.165976416 1837
 
1.2%
9.181785673 864
 
0.6%
10.81975628 506
 
0.3%
5.750474527 264
 
0.2%
12.20938997 249
 
0.2%
3.539668309 174
 
0.1%
13.42201696 172
 
0.1%
4.497939569 114
 
0.1%
Other values (238) 1276
 
0.9%
ValueCountFrequency (%)
0 137983
92.0%
1.013168994 1
 
< 0.1%
1.332223841 2
 
< 0.1%
1.333714426 1
 
< 0.1%
1.333779266 28
 
< 0.1%
ValueCountFrequency (%)
34.0820661 1
< 0.1%
31.640816 1
< 0.1%
31.39894138 1
< 0.1%
30.8670736 2
< 0.1%
28.91645143 2
< 0.1%

vas_clc_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct5410
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.448930763
Minimum0
Maximum53.36220261
Zeros96514
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:10.396597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.399948404
95-th percentile10.15469148
Maximum53.36220261
Range53.36220261
Interquartile range (IQR)1.399948404

Descriptive statistics

Standard deviation3.283001006
Coefficient of variation (CV)2.265809443
Kurtosis21.15575276
Mean1.448930763
Median Absolute Deviation (MAD)0
Skewness3.818224626
Sum217339.6145
Variance10.7780956
MonotonicityNot monotonic
2024-06-11T19:35:10.463823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96514
64.3%
1.746290425 7927
 
5.3%
1.066468818 5401
 
3.6%
1.066399103 3480
 
2.3%
2.743301695 2529
 
1.7%
11.49152712 1795
 
1.2%
1.213999962 1409
 
0.9%
3.665311256 1357
 
0.9%
1.213796097 1103
 
0.7%
4.497536115 913
 
0.6%
Other values (5400) 27572
 
18.4%
ValueCountFrequency (%)
0 96514
64.3%
1.000003795 4
 
< 0.1%
1.000005988 54
 
< 0.1%
1.000012382 9
 
< 0.1%
1.000023893 1
 
< 0.1%
ValueCountFrequency (%)
53.36220261 1
 
< 0.1%
43.01198649 1
 
< 0.1%
42.91243609 4
< 0.1%
42.59577548 1
 
< 0.1%
41.98995102 1
 
< 0.1%

all_clc_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct62332
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.213783081
Minimum0
Maximum51.54900345
Zeros25921
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:10.528864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2531409
median7.084896199
Q311.27638843
95-th percentile16.67865912
Maximum51.54900345
Range51.54900345
Interquartile range (IQR)10.02324753

Descriptive statistics

Standard deviation5.552541492
Coefficient of variation (CV)0.7697128441
Kurtosis-0.4296386413
Mean7.213783081
Median Absolute Deviation (MAD)4.753251299
Skewness0.368928226
Sum1082067.462
Variance30.83071702
MonotonicityNot monotonic
2024-06-11T19:35:10.597854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25921
 
17.3%
5.750836037 1860
 
1.2%
1.008746121 1766
 
1.2%
8.921894497 921
 
0.6%
5.910345837 728
 
0.5%
3.325380361 696
 
0.5%
5.910345837 653
 
0.4%
6.370802341 642
 
0.4%
9.139656257 612
 
0.4%
5.079127105 596
 
0.4%
Other values (62322) 115605
77.1%
ValueCountFrequency (%)
0 25921
17.3%
1 152
 
0.1%
1 61
 
< 0.1%
1.000000001 32
 
< 0.1%
1.000000001 10
 
< 0.1%
ValueCountFrequency (%)
51.54900345 1
< 0.1%
40.58740843 1
< 0.1%
39.5955706 1
< 0.1%
37.51526968 1
< 0.1%
36.0180647 1
< 0.1%

voice_in_kievstar_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct2492
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2984136353
Minimum0
Maximum1.480453014
Zeros107367
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:10.662621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000891199
95-th percentile1.082760975
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000891199

Descriptive statistics

Standard deviation0.475883454
Coefficient of variation (CV)1.594710823
Kurtosis-0.9405236168
Mean0.2984136353
Median Absolute Deviation (MAD)0
Skewness0.9939633947
Sum44762.04529
Variance0.2264650618
MonotonicityNot monotonic
2024-06-11T19:35:10.731448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107367
71.6%
1.082760975 875
 
0.6%
1.03324115 853
 
0.6%
1.049793044 843
 
0.6%
1.017830633 775
 
0.5%
1.023762432 767
 
0.5%
1.164401954 716
 
0.5%
1.013872843 698
 
0.5%
1.011100838 697
 
0.5%
1.00908403 675
 
0.4%
Other values (2482) 35734
 
23.8%
ValueCountFrequency (%)
0 107367
71.6%
1.000013667 1
 
< 0.1%
1.000016064 1
 
< 0.1%
1.000020019 2
 
< 0.1%
1.000021139 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 424
0.3%
1.466339681 1
 
< 0.1%
1.466046358 1
 
< 0.1%
1.462731594 1
 
< 0.1%
1.462024934 1
 
< 0.1%

Ama_rchrgmnt_sum_mea_wk1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:10.785558image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:10.831077image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

sms_in_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1289285255
Minimum0
Maximum53.09148969
Zeros141682
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:10.890418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum53.09148969
Range53.09148969
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6819481478
Coefficient of variation (CV)5.289350401
Kurtosis401.1150248
Mean0.1289285255
Median Absolute Deviation (MAD)0
Skewness12.48356169
Sum19339.27882
Variance0.4650532763
MonotonicityNot monotonic
2024-06-11T19:35:10.963155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141682
94.5%
1.480453014 4785
 
3.2%
2.206948961 1630
 
1.1%
2.921812056 707
 
0.5%
3.590290394 377
 
0.3%
4.210401996 231
 
0.2%
4.786566308 132
 
0.1%
5.324077125 86
 
0.1%
5.827795843 73
 
< 0.1%
6.749901739 47
 
< 0.1%
Other values (46) 250
 
0.2%
ValueCountFrequency (%)
0 141682
94.5%
1.480453014 4785
 
3.2%
2.206948961 1630
 
1.1%
2.921812056 707
 
0.5%
3.590290394 377
 
0.3%
ValueCountFrequency (%)
53.09148969 1
< 0.1%
25.97213051 1
< 0.1%
25.13417803 1
< 0.1%
21.64152748 1
< 0.1%
21.44657194 1
< 0.1%

voice_mts_in_drest_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct131148
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05024625761
Minimum-1.010892908
Maximum1.008681242
Zeros16296
Zeros (%)10.9%
Negative70619
Negative (%)47.1%
Memory size1.1 MiB
2024-06-11T19:35:11.031077image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.010892908
5-th percentile-1.000715472
Q1-1.000072908
median0
Q31.000041266
95-th percentile1.000630066
Maximum1.008681242
Range2.019574149
Interquartile range (IQR)2.000114174

Descriptive statistics

Standard deviation0.9430413226
Coefficient of variation (CV)-18.76838928
Kurtosis-1.867482255
Mean-0.05024625761
Median Absolute Deviation (MAD)1.00005642
Skewness0.1000369179
Sum-7536.938641
Variance0.8893269362
MonotonicityNot monotonic
2024-06-11T19:35:11.103681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16296
 
10.9%
1.001424332 217
 
0.1%
1.000584711 192
 
0.1%
-1.001424332 191
 
0.1%
-1.000584711 189
 
0.1%
1.00095998 179
 
0.1%
-1.00095998 177
 
0.1%
-1.000012183 162
 
0.1%
1.000108887 159
 
0.1%
1.000012183 152
 
0.1%
Other values (131138) 132086
88.1%
ValueCountFrequency (%)
-1.010892908 1
< 0.1%
-1.009258609 1
< 0.1%
-1.008421591 1
< 0.1%
-1.008400019 1
< 0.1%
-1.008273787 1
< 0.1%
ValueCountFrequency (%)
1.008681242 1
< 0.1%
1.008264145 1
< 0.1%
1.008138093 1
< 0.1%
1.007986901 1
< 0.1%
1.00790952 1
< 0.1%

voice_mts_in_dwork_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct94707
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7217643624
Minimum0
Maximum1.480453014
Zeros50256
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:11.171635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.018272221
Q31.093540165
95-th percentile1.216680545
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.093540165

Descriptive statistics

Standard deviation0.5166330965
Coefficient of variation (CV)0.715791917
Kurtosis-1.499298187
Mean0.7217643624
Median Absolute Deviation (MAD)0.1122380193
Skewness-0.6431396356
Sum108264.6544
Variance0.2669097564
MonotonicityNot monotonic
2024-06-11T19:35:11.240127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50256
33.5%
1.480453014 119
 
0.1%
1.049793044 39
 
< 0.1%
1.164401954 35
 
< 0.1%
1.082760975 27
 
< 0.1%
1.017830633 22
 
< 0.1%
1.03324115 19
 
< 0.1%
1.063158942 19
 
< 0.1%
1.023762432 18
 
< 0.1%
1.101412779 15
 
< 0.1%
Other values (94697) 99431
66.3%
ValueCountFrequency (%)
0 50256
33.5%
1.000000003 1
 
< 0.1%
1.000000004 1
 
< 0.1%
1.00000001 1
 
< 0.1%
1.00000002 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 119
0.1%
1.479817552 1
 
< 0.1%
1.479699581 1
 
< 0.1%
1.478698704 1
 
< 0.1%
1.478391984 1
 
< 0.1%

voice_in_cmpttrs_td_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct433
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.069090997
Minimum0
Maximum39.72662732
Zeros33653
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:11.308753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.049793044
median1.839588705
Q34.358354821
95-th percentile10.12296649
Maximum39.72662732
Range39.72662732
Interquartile range (IQR)3.308561777

Descriptive statistics

Standard deviation3.383037602
Coefficient of variation (CV)1.102293026
Kurtosis3.799922193
Mean3.069090997
Median Absolute Deviation (MAD)1.839588705
Skewness1.75227173
Sum460363.6495
Variance11.44494342
MonotonicityNot monotonic
2024-06-11T19:35:11.385821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33653
22.4%
1.049793044 11862
 
7.9%
1.164401954 8922
 
5.9%
1.31316983 7019
 
4.7%
1.480453014 5886
 
3.9%
1.657607816 5200
 
3.5%
1.839588705 4433
 
3.0%
2.023336405 3975
 
2.6%
2.206948961 3629
 
2.4%
2.3892276 3308
 
2.2%
Other values (423) 62113
41.4%
ValueCountFrequency (%)
0 33653
22.4%
1.049793044 11862
 
7.9%
1.164401954 8922
 
5.9%
1.31316983 7019
 
4.7%
1.480453014 5886
 
3.9%
ValueCountFrequency (%)
39.72662732 1
< 0.1%
33.05928636 1
< 0.1%
30.88814074 1
< 0.1%
30.70211759 1
< 0.1%
30.57270657 1
< 0.1%

sms_roam_clc_max_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003514595305
Minimum0
Maximum34.64393425
Zeros149939
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:11.444690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum34.64393425
Range34.64393425
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1904204458
Coefficient of variation (CV)54.17990672
Kurtosis9250.664822
Mean0.003514595305
Median Absolute Deviation (MAD)0
Skewness77.65110006
Sum527.1892958
Variance0.03625994618
MonotonicityNot monotonic
2024-06-11T19:35:11.498175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 149939
> 99.9%
7.485597097 49
 
< 0.1%
11.23918336 8
 
< 0.1%
15.9956774 1
 
< 0.1%
5.941972439 1
 
< 0.1%
34.64393425 1
 
< 0.1%
13.89998703 1
 
< 0.1%
ValueCountFrequency (%)
0 149939
> 99.9%
5.941972439 1
 
< 0.1%
7.485597097 49
 
< 0.1%
11.23918336 8
 
< 0.1%
13.89998703 1
 
< 0.1%
ValueCountFrequency (%)
34.64393425 1
 
< 0.1%
15.9956774 1
 
< 0.1%
13.89998703 1
 
< 0.1%
11.23918336 8
 
< 0.1%
7.485597097 49
< 0.1%

pay_max_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct8869
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.28345249
Minimum-18.2136862
Maximum50.91685727
Zeros25610
Zeros (%)17.1%
Negative8
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:11.561786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-18.2136862
5-th percentile0
Q16.749901739
median11.61519305
Q314.2785913
95-th percentile18.81458237
Maximum50.91685727
Range69.13054347
Interquartile range (IQR)7.528689558

Descriptive statistics

Standard deviation6.110265255
Coefficient of variation (CV)0.5941842259
Kurtosis-0.4645037915
Mean10.28345249
Median Absolute Deviation (MAD)3.399380507
Skewness-0.3389219519
Sum1542517.873
Variance37.33534148
MonotonicityNot monotonic
2024-06-11T19:35:11.716642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25610
 
17.1%
11.61519305 5804
 
3.9%
9.246543868 3505
 
2.3%
12.79226812 3433
 
2.3%
13.50412131 2833
 
1.9%
10.507589 2437
 
1.6%
14.32730559 2332
 
1.6%
13.33095137 2270
 
1.5%
10.26911687 2227
 
1.5%
5.988934212 2136
 
1.4%
Other values (8859) 97413
64.9%
ValueCountFrequency (%)
-18.2136862 1
< 0.1%
-15.85117914 1
< 0.1%
-12.66216151 1
< 0.1%
-11.6797155 1
< 0.1%
-10.41580237 1
< 0.1%
ValueCountFrequency (%)
50.91685727 1
< 0.1%
48.7308926 1
< 0.1%
47.33317693 1
< 0.1%
46.90066065 1
< 0.1%
46.5391609 1
< 0.1%

gprs_clc_td_mnt3
Real number (ℝ)

ZEROS 

Distinct1291
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004762451774
Minimum-13.00886221
Maximum5.801488889
Zeros138061
Zeros (%)92.0%
Negative5608
Negative (%)3.7%
Memory size1.1 MiB
2024-06-11T19:35:11.787125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-13.00886221
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5.801488889
Range18.8103511
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3256847961
Coefficient of variation (CV)68.38595153
Kurtosis38.63168665
Mean0.004762451774
Median Absolute Deviation (MAD)0
Skewness-0.4759561126
Sum714.367766
Variance0.1060705864
MonotonicityNot monotonic
2024-06-11T19:35:11.859728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138061
92.0%
1.036693105 624
 
0.4%
1.025391069 613
 
0.4%
1.015892394 590
 
0.4%
-1.003134246 524
 
0.3%
-1.00839761 514
 
0.3%
1.00839761 512
 
0.3%
1.003134246 510
 
0.3%
-1.025391069 497
 
0.3%
1.00036145 462
 
0.3%
Other values (1281) 7093
 
4.7%
ValueCountFrequency (%)
-13.00886221 1
< 0.1%
-6.511538106 1
< 0.1%
-6.276195177 1
< 0.1%
-5.256918887 1
< 0.1%
-5.17652786 1
< 0.1%
ValueCountFrequency (%)
5.801488889 1
< 0.1%
5.256922737 1
< 0.1%
5.104548622 1
< 0.1%
5.084011582 1
< 0.1%
5.042775848 1
< 0.1%

ks_num_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct48881
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7655729525
Minimum0
Maximum1.207704776
Zeros37149
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:11.931632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000051399
median1.00344849
Q31.01194122
95-th percentile1.054846543
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.01188982097

Descriptive statistics

Standard deviation0.4401275747
Coefficient of variation (CV)0.5748995876
Kurtosis-0.6413457467
Mean0.7655729525
Median Absolute Deviation (MAD)0.008310154564
Skewness-1.154301793
Sum114835.9429
Variance0.193712282
MonotonicityNot monotonic
2024-06-11T19:35:12.003552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37149
 
24.8%
1.049793044 2573
 
1.7%
1.013872843 2071
 
1.4%
1.023762432 1889
 
1.3%
1.164401954 1886
 
1.3%
1.006406835 1694
 
1.1%
1.00908403 1514
 
1.0%
1.004760016 1162
 
0.8%
1.003675345 1116
 
0.7%
1.002923264 886
 
0.6%
Other values (48871) 98060
65.4%
ValueCountFrequency (%)
0 37149
24.8%
1 5
 
< 0.1%
1.000001091 1
 
< 0.1%
1.000001127 1
 
< 0.1%
1.000001258 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 385
0.3%
1.190462587 2
 
< 0.1%
1.1884951 1
 
< 0.1%
1.18602901 4
 
< 0.1%
1.182853558 4
 
< 0.1%

voice_in_mts_avg_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct69911
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.61494361
Minimum0
Maximum73.36116512
Zeros14018
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:12.072331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.04654495
median28.78828961
Q336.3894699
95-th percentile46.31195859
Maximum73.36116512
Range73.36116512
Interquartile range (IQR)15.34292495

Descriptive statistics

Standard deviation12.71081061
Coefficient of variation (CV)0.4602874006
Kurtosis0.03750491237
Mean27.61494361
Median Absolute Deviation (MAD)7.674104934
Skewness-0.5559175249
Sum4142241.542
Variance161.5647064
MonotonicityNot monotonic
2024-06-11T19:35:12.145526image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14018
 
9.3%
17.89928393 150
 
0.1%
15.65849494 125
 
0.1%
18.92765789 121
 
0.1%
16.76321788 118
 
0.1%
18.03323823 118
 
0.1%
16.91199372 117
 
0.1%
13.43521855 117
 
0.1%
15.82363655 114
 
0.1%
13.01132535 114
 
0.1%
Other values (69901) 134888
89.9%
ValueCountFrequency (%)
0 14018
9.3%
1.480453014 22
 
< 0.1%
2.206948961 28
 
< 0.1%
2.479617585 1
 
< 0.1%
2.921812056 34
 
< 0.1%
ValueCountFrequency (%)
73.36116512 1
< 0.1%
70.66247426 1
< 0.1%
68.48447837 1
< 0.1%
67.32633978 1
< 0.1%
66.72046629 1
< 0.1%

voice_in_td_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct895
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.206139403
Minimum0
Maximum55.11250471
Zeros9017
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:12.214918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.358354821
median8.943368742
Q313.38322318
95-th percentile19.40804222
Maximum55.11250471
Range55.11250471
Interquartile range (IQR)9.024868356

Descriptive statistics

Standard deviation5.944179882
Coefficient of variation (CV)0.6456756325
Kurtosis-0.3179920796
Mean9.206139403
Median Absolute Deviation (MAD)4.439854435
Skewness0.3889379092
Sum1380920.911
Variance35.33327447
MonotonicityNot monotonic
2024-06-11T19:35:12.282187image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9017
 
6.0%
1.049793044 2702
 
1.8%
1.164401954 2125
 
1.4%
1.31316983 1814
 
1.2%
1.480453014 1631
 
1.1%
1.657607816 1516
 
1.0%
1.839588705 1406
 
0.9%
2.023336405 1348
 
0.9%
2.206948961 1312
 
0.9%
2.3892276 1258
 
0.8%
Other values (885) 125871
83.9%
ValueCountFrequency (%)
0 9017
6.0%
1.049793044 2702
 
1.8%
1.164401954 2125
 
1.4%
1.31316983 1814
 
1.2%
1.480453014 1631
 
1.1%
ValueCountFrequency (%)
55.11250471 1
< 0.1%
51.33111145 1
< 0.1%
46.69145201 1
< 0.1%
43.05544344 1
< 0.1%
39.62135382 1
< 0.1%

voice_mts_in_drest_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct109411
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.063696383
Minimum0
Maximum1.480453014
Zeros16258
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:12.350066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.056042734
median1.130281895
Q31.256461551
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.2004188165

Descriptive statistics

Standard deviation0.3953543777
Coefficient of variation (CV)0.3716797238
Kurtosis2.850379929
Mean1.063696383
Median Absolute Deviation (MAD)0.09146849126
Skewness-1.928040488
Sum159554.4574
Variance0.1563050839
MonotonicityNot monotonic
2024-06-11T19:35:12.422349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16258
 
10.8%
1.480453014 13452
 
9.0%
1.164401954 99
 
0.1%
1.260942818 69
 
< 0.1%
1.31316983 55
 
< 0.1%
1.082760975 52
 
< 0.1%
1.220903412 44
 
< 0.1%
1.113213566 39
 
< 0.1%
1.235717839 34
 
< 0.1%
1.204290552 34
 
< 0.1%
Other values (109401) 119864
79.9%
ValueCountFrequency (%)
0 16258
10.8%
1.000000091 1
 
< 0.1%
1.000000136 1
 
< 0.1%
1.000000156 1
 
< 0.1%
1.000000193 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 13452
9.0%
1.480297673 1
 
< 0.1%
1.480226577 1
 
< 0.1%
1.480162156 1
 
< 0.1%
1.480156558 1
 
< 0.1%

accum_mts_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct3604
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4199970212
Minimum-1
Maximum1.011596663
Zeros86921
Zeros (%)57.9%
Negative42
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:12.494685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31.000003022
95-th percentile1.000167339
Maximum1.011596663
Range2.011596663
Interquartile range (IQR)1.000003022

Descriptive statistics

Standard deviation0.4941573876
Coefficient of variation (CV)1.176573553
Kurtosis-1.88057407
Mean0.4199970212
Median Absolute Deviation (MAD)0
Skewness0.3173559499
Sum62999.55318
Variance0.2441915237
MonotonicityNot monotonic
2024-06-11T19:35:12.569128image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86921
57.9%
1 3112
 
2.1%
1.000000004 1380
 
0.9%
1 1266
 
0.8%
1.000000014 1096
 
0.7%
1.000000032 892
 
0.6%
1.000000058 777
 
0.5%
1.00000009 716
 
0.5%
1.00000013 701
 
0.5%
1 668
 
0.4%
Other values (3594) 52471
35.0%
ValueCountFrequency (%)
-1 2
 
< 0.1%
-1 1
 
< 0.1%
-1 8
< 0.1%
-1 7
< 0.1%
-1 6
< 0.1%
ValueCountFrequency (%)
1.011596663 1
< 0.1%
1.005062021 1
< 0.1%
1.004833873 1
< 0.1%
1.004362586 1
< 0.1%
1.00397766 1
< 0.1%

pay_p2p_out_sum_max_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0007140323538
Minimum-32.38373528
Maximum0
Zeros149996
Zeros (%)> 99.9%
Negative4
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:12.626781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-32.38373528
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range32.38373528
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1403162188
Coefficient of variation (CV)-196.5124102
Kurtosis41585.3553
Mean-0.0007140323538
Median Absolute Deviation (MAD)0
Skewness-201.6787383
Sum-107.1048531
Variance0.01968864127
MonotonicityNot monotonic
2024-06-11T19:35:12.676817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 149996
> 99.9%
-29.64238548 1
 
< 0.1%
-32.38373528 1
 
< 0.1%
-20.31118337 1
 
< 0.1%
-24.76754894 1
 
< 0.1%
ValueCountFrequency (%)
-32.38373528 1
 
< 0.1%
-29.64238548 1
 
< 0.1%
-24.76754894 1
 
< 0.1%
-20.31118337 1
 
< 0.1%
0 149996
> 99.9%
ValueCountFrequency (%)
0 149996
> 99.9%
-20.31118337 1
 
< 0.1%
-24.76754894 1
 
< 0.1%
-29.64238548 1
 
< 0.1%
-32.38373528 1
 
< 0.1%

sms_roam_clc_std_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001602906503
Minimum0
Maximum21.95402648
Zeros149939
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:12.729498image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21.95402648
Range21.95402648
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09453546405
Coefficient of variation (CV)58.97752857
Kurtosis20921.62171
Mean0.001602906503
Median Absolute Deviation (MAD)0
Skewness113.0037705
Sum240.4359754
Variance0.008936953963
MonotonicityNot monotonic
2024-06-11T19:35:12.778772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 149939
> 99.9%
3.192576594 46
 
< 0.1%
5.215395485 6
 
< 0.1%
3.955242334 3
 
< 0.1%
5.485021532 2
 
< 0.1%
8.182257456 1
 
< 0.1%
2.481335979 1
 
< 0.1%
21.95402648 1
 
< 0.1%
6.831689187 1
 
< 0.1%
ValueCountFrequency (%)
0 149939
> 99.9%
2.481335979 1
 
< 0.1%
3.192576594 46
 
< 0.1%
3.955242334 3
 
< 0.1%
5.215395485 6
 
< 0.1%
ValueCountFrequency (%)
21.95402648 1
 
< 0.1%
8.182257456 1
 
< 0.1%
6.831689187 1
 
< 0.1%
5.485021532 2
 
< 0.1%
5.215395485 6
< 0.1%

voice_out_cmpttrs_td_cntmin_mnt3
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7021110406
Minimum0
Maximum28.53126161
Zeros120988
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:12.837758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.786566308
Maximum28.53126161
Range28.53126161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.876568415
Coefficient of variation (CV)2.672751612
Kurtosis18.97627229
Mean0.7021110406
Median Absolute Deviation (MAD)0
Skewness3.847817145
Sum105316.6561
Variance3.521509018
MonotonicityNot monotonic
2024-06-11T19:35:12.904317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120988
80.7%
1.480453014 9344
 
6.2%
2.206948961 4997
 
3.3%
2.921812056 3202
 
2.1%
3.590290394 2228
 
1.5%
4.210401996 1681
 
1.1%
4.786566308 1337
 
0.9%
5.324077125 1000
 
0.7%
5.827795843 705
 
0.5%
6.30189811 630
 
0.4%
Other values (83) 3888
 
2.6%
ValueCountFrequency (%)
0 120988
80.7%
1.480453014 9344
 
6.2%
2.206948961 4997
 
3.3%
2.921812056 3202
 
2.1%
3.590290394 2228
 
1.5%
ValueCountFrequency (%)
28.53126161 1
< 0.1%
25.41982983 1
< 0.1%
25.27782888 1
< 0.1%
24.54219768 1
< 0.1%
23.34819559 1
< 0.1%

voice_out_cmpttrs_avg_dumax_mnt1
Real number (ℝ)

ZEROS 

Distinct5254
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.47107991
Minimum0
Maximum79.88948317
Zeros42377
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:12.972672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.99960696
Q331.96388736
95-th percentile45.86679492
Maximum79.88948317
Range79.88948317
Interquartile range (IQR)31.96388736

Descriptive statistics

Standard deviation15.69594709
Coefficient of variation (CV)0.7310273707
Kurtosis-0.7664433307
Mean21.47107991
Median Absolute Deviation (MAD)9.571500617
Skewness-0.02697890985
Sum3220661.987
Variance246.3627552
MonotonicityNot monotonic
2024-06-11T19:35:13.046217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42377
28.3%
17.89928393 12436
 
8.3%
23.99960696 8751
 
5.8%
28.02437138 5101
 
3.4%
31.0829974 3519
 
2.3%
21.34785349 3005
 
2.0%
33.57110757 2469
 
1.6%
26.17309696 2010
 
1.3%
35.67888361 1878
 
1.3%
37.51341156 1590
 
1.1%
Other values (5244) 66864
44.6%
ValueCountFrequency (%)
0 42377
28.3%
17.89928393 12436
 
8.3%
18.09960245 1
 
< 0.1%
18.11568421 1
 
< 0.1%
18.12163441 1
 
< 0.1%
ValueCountFrequency (%)
79.88948317 6
< 0.1%
79.44044295 1
 
< 0.1%
79.13537436 2
 
< 0.1%
78.66883208 1
 
< 0.1%
78.02923588 2
 
< 0.1%

voice_mts_in_nrest_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct111207
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7589475524
Minimum0
Maximum1.174231528
Zeros36476
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:13.200017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000000204
median1.000388649
Q31.002247576
95-th percentile1.009485853
Maximum1.174231528
Range1.174231528
Interquartile range (IQR)0.002247372267

Descriptive statistics

Standard deviation0.4302252135
Coefficient of variation (CV)0.5668708096
Kurtosis-0.5666730609
Mean0.7589475524
Median Absolute Deviation (MAD)0.001767415734
Skewness-1.196966981
Sum113842.1329
Variance0.1850937344
MonotonicityNot monotonic
2024-06-11T19:35:13.272546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36476
 
24.3%
1.006406835 1010
 
0.7%
1.023762432 42
 
< 0.1%
1.000107387 19
 
< 0.1%
1.001666435 17
 
< 0.1%
1.00238048 11
 
< 0.1%
1.000140054 11
 
< 0.1%
1.00004083 10
 
< 0.1%
1.000084947 10
 
< 0.1%
1.000273218 10
 
< 0.1%
Other values (111197) 112384
74.9%
ValueCountFrequency (%)
0 36476
24.3%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1.174231528 1
< 0.1%
1.140524285 1
< 0.1%
1.133738322 1
< 0.1%
1.118920368 1
< 0.1%
1.116558962 1
< 0.1%

voice_out_tar_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1226
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.6646211
Minimum0
Maximum153.3143249
Zeros20950
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:13.341130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.0046363
median72.4239146
Q386.6271816
95-th percentile103.0249237
Maximum153.3143249
Range153.3143249
Interquartile range (IQR)37.6225453

Descriptive statistics

Standard deviation32.11183927
Coefficient of variation (CV)0.5043906446
Kurtosis-0.2972304016
Mean63.6646211
Median Absolute Deviation (MAD)16.80001181
Skewness-0.8309743577
Sum9549693.165
Variance1031.170222
MonotonicityNot monotonic
2024-06-11T19:35:13.412213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20950
 
14.0%
17.89928393 2042
 
1.4%
23.99960696 1486
 
1.0%
28.02437138 1237
 
0.8%
31.0829974 1116
 
0.7%
33.57110757 1024
 
0.7%
37.51341156 949
 
0.6%
35.67888361 946
 
0.6%
41.94201714 925
 
0.6%
39.14133654 888
 
0.6%
Other values (1216) 118437
79.0%
ValueCountFrequency (%)
0 20950
14.0%
17.89928393 2042
 
1.4%
23.99960696 1486
 
1.0%
28.02437138 1237
 
0.8%
31.0829974 1116
 
0.7%
ValueCountFrequency (%)
153.3143249 1
< 0.1%
149.6468198 1
< 0.1%
148.4635626 1
< 0.1%
146.5580774 1
< 0.1%
144.149664 1
< 0.1%

voice_mts_in_drest_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct119672
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8424021114
Minimum0
Maximum1.207704776
Zeros27025
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:13.483685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000892328
median1.007581368
Q31.025373407
95-th percentile1.112914091
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.0244810784

Descriptive statistics

Standard deviation0.3964672077
Coefficient of variation (CV)0.4706389056
Kurtosis0.7252919112
Mean0.8424021114
Median Absolute Deviation (MAD)0.01042188148
Skewness-1.632126598
Sum126360.3167
Variance0.1571862468
MonotonicityNot monotonic
2024-06-11T19:35:13.558967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27025
 
18.0%
1.164401954 2070
 
1.4%
1.207704776 176
 
0.1%
1.049793044 20
 
< 0.1%
1.023762432 19
 
< 0.1%
1.013872843 15
 
< 0.1%
1.03324115 12
 
< 0.1%
1.101412779 9
 
< 0.1%
1.003675345 9
 
< 0.1%
1.004350454 9
 
< 0.1%
Other values (119662) 120636
80.4%
ValueCountFrequency (%)
0 27025
18.0%
1.000000005 1
 
< 0.1%
1.000000007 1
 
< 0.1%
1.000000008 1
 
< 0.1%
1.000000012 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 176
0.1%
1.207408801 1
 
< 0.1%
1.207112418 1
 
< 0.1%
1.206678935 1
 
< 0.1%
1.206615287 1
 
< 0.1%

clc_no_vas_roam_std_mnt3
Real number (ℝ)

ZEROS 

Distinct48334
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.637534871
Minimum0
Maximum43.72538545
Zeros37928
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:13.630772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.14382405
Q315.24521668
95-th percentile20.40356712
Maximum43.72538545
Range43.72538545
Interquartile range (IQR)15.24521668

Descriptive statistics

Standard deviation7.468987395
Coefficient of variation (CV)0.7749894028
Kurtosis-0.8979459211
Mean9.637534871
Median Absolute Deviation (MAD)5.514059688
Skewness0.03146384879
Sum1445630.231
Variance55.7857727
MonotonicityNot monotonic
2024-06-11T19:35:13.700115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37928
 
25.3%
12.14382405 3315
 
2.2%
12.40843847 2836
 
1.9%
14.1619521 1748
 
1.2%
11.00451042 1500
 
1.0%
17.74550361 1389
 
0.9%
13.16123561 1235
 
0.8%
7.755722602 1077
 
0.7%
15.24521668 1052
 
0.7%
20.24331492 1025
 
0.7%
Other values (48324) 96895
64.6%
ValueCountFrequency (%)
0 37928
25.3%
1 2
 
< 0.1%
1.000000001 322
 
0.2%
1.000000002 111
 
0.1%
1.000000002 34
 
< 0.1%
ValueCountFrequency (%)
43.72538545 1
< 0.1%
43.71507286 1
< 0.1%
42.998667 1
< 0.1%
41.96679926 1
< 0.1%
40.86803888 1
< 0.1%

non_accum_internet_vol_mea_wk1
Real number (ℝ)

ZEROS 

Distinct104009
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.9875756
Minimum-114.9051414
Maximum372.1103034
Zeros40165
Zeros (%)26.8%
Negative349
Negative (%)0.2%
Memory size1.1 MiB
2024-06-11T19:35:13.768578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-114.9051414
5-th percentile0
Q10
median143.8756818
Q3209.1451212
95-th percentile260.4019344
Maximum372.1103034
Range487.0154448
Interquartile range (IQR)209.1451212

Descriptive statistics

Standard deviation99.79940386
Coefficient of variation (CV)0.8317478149
Kurtosis-1.575825582
Mean119.9875756
Median Absolute Deviation (MAD)93.9263444
Skewness-0.04169925555
Sum17998136.35
Variance9959.92101
MonotonicityNot monotonic
2024-06-11T19:35:13.836026image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40165
 
26.8%
1.480453014 693
 
0.5%
2.206948961 290
 
0.2%
2.921812056 213
 
0.1%
3.590290394 166
 
0.1%
4.210401996 144
 
0.1%
4.786566308 134
 
0.1%
5.324077125 121
 
0.1%
22.29933738 99
 
0.1%
5.827795843 96
 
0.1%
Other values (103999) 107879
71.9%
ValueCountFrequency (%)
-114.9051414 1
< 0.1%
-114.8015105 1
< 0.1%
-114.7956096 1
< 0.1%
-114.4373636 1
< 0.1%
-114.4093117 1
< 0.1%
ValueCountFrequency (%)
372.1103034 1
< 0.1%
366.9484516 1
< 0.1%
348.5272812 1
< 0.1%
347.6591531 1
< 0.1%
347.4527309 1
< 0.1%

voice_mts_out_nwork_partmea_mnt1
Real number (ℝ)

ZEROS 

Distinct80331
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6937042864
Minimum0
Maximum1.480453014
Zeros47941
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:13.901088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.002231114
Q31.015143786
95-th percentile1.060793346
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.015143786

Descriptive statistics

Standard deviation0.4760776019
Coefficient of variation (CV)0.6862832062
Kurtosis-1.400634852
Mean0.6937042864
Median Absolute Deviation (MAD)0.02112729523
Skewness-0.7646333344
Sum104055.643
Variance0.226649883
MonotonicityNot monotonic
2024-06-11T19:35:13.972926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47941
32.0%
1.049793044 930
 
0.6%
1.013872843 536
 
0.4%
1.003675345 449
 
0.3%
1.006406835 433
 
0.3%
1.001666435 326
 
0.2%
1.00238048 322
 
0.2%
1.001231401 311
 
0.2%
1.000946895 298
 
0.2%
1.000750704 255
 
0.2%
Other values (80321) 98199
65.5%
ValueCountFrequency (%)
0 47941
32.0%
1.00000009 1
 
< 0.1%
1.000000095 1
 
< 0.1%
1.000000135 1
 
< 0.1%
1.000000165 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.454065463 1
< 0.1%
1.437447952 1
< 0.1%
1.430548651 1
< 0.1%
1.411811588 1
< 0.1%

voice_mts_in_nrest_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct16969
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.115223702
Minimum0
Maximum1.275635772
Zeros132737
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:14.044833image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.000243033
Maximum1.275635772
Range1.275635772
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3195107357
Coefficient of variation (CV)2.772960164
Kurtosis3.820039578
Mean0.115223702
Median Absolute Deviation (MAD)0
Skewness2.412416489
Sum17283.55531
Variance0.1020871102
MonotonicityNot monotonic
2024-06-11T19:35:14.129343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 132737
88.5%
1.001975959 5
 
< 0.1%
1.000273218 5
 
< 0.1%
1.000211578 4
 
< 0.1%
1.00029222 4
 
< 0.1%
1.003267084 4
 
< 0.1%
1.00005487 3
 
< 0.1%
1.000022959 3
 
< 0.1%
1.000976721 3
 
< 0.1%
1.000063156 3
 
< 0.1%
Other values (16959) 17229
 
11.5%
ValueCountFrequency (%)
0 132737
88.5%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000002 1
 
< 0.1%
ValueCountFrequency (%)
1.275635772 1
< 0.1%
1.103190933 1
< 0.1%
1.083163957 1
< 0.1%
1.072959356 1
< 0.1%
1.069359727 1
< 0.1%

data_3g_dou_td_mnt3
Real number (ℝ)

ZEROS 

Distinct505
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1030446839
Minimum-1.399255589
Maximum1.399255589
Zeros44133
Zeros (%)29.4%
Negative45755
Negative (%)30.5%
Memory size1.1 MiB
2024-06-11T19:35:14.200429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.399255589
5-th percentile-1.058159138
Q1-1.000761095
median0
Q31.00598294
95-th percentile1.104342467
Maximum1.399255589
Range2.798511178
Interquartile range (IQR)2.006744035

Descriptive statistics

Standard deviation0.8671110963
Coefficient of variation (CV)8.414903744
Kurtosis-1.521389552
Mean0.1030446839
Median Absolute Deviation (MAD)1.002613096
Skewness-0.1710639241
Sum15456.70258
Variance0.7518816533
MonotonicityNot monotonic
2024-06-11T19:35:14.267651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44133
29.4%
1.001424332 1556
 
1.0%
-1.001424332 1515
 
1.0%
1.00095998 1386
 
0.9%
1.000108887 1340
 
0.9%
1.000584711 1299
 
0.9%
1.000300379 1291
 
0.9%
-1.000300379 1282
 
0.9%
1.000012183 1211
 
0.8%
-1.000108887 1210
 
0.8%
Other values (495) 93777
62.5%
ValueCountFrequency (%)
-1.399255589 1
 
< 0.1%
-1.396907917 4
< 0.1%
-1.394562812 4
< 0.1%
-1.392220296 5
< 0.1%
-1.38988039 4
< 0.1%
ValueCountFrequency (%)
1.399255589 11
< 0.1%
1.396907917 19
< 0.1%
1.394562812 19
< 0.1%
1.392220296 19
< 0.1%
1.38988039 17
< 0.1%

voice_out_cmpttrs_avg_dustd_mnt3
Real number (ℝ)

ZEROS 

Distinct87725
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.08413251
Minimum0
Maximum62.12071656
Zeros25723
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:14.335093image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.27744881
median18.21224042
Q325.47890712
95-th percentile36.99785523
Maximum62.12071656
Range62.12071656
Interquartile range (IQR)14.20145831

Descriptive statistics

Standard deviation11.38093928
Coefficient of variation (CV)0.6293328847
Kurtosis-0.3231459574
Mean18.08413251
Median Absolute Deviation (MAD)7.018678106
Skewness0.07850379755
Sum2712619.877
Variance129.5257789
MonotonicityNot monotonic
2024-06-11T19:35:14.488399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25723
 
17.1%
9.456586673 5571
 
3.7%
11.19356231 2128
 
1.4%
13.76988162 1361
 
0.9%
12.13590699 1000
 
0.7%
14.28833284 947
 
0.6%
16.75745178 672
 
0.4%
14.62263844 629
 
0.4%
12.69025442 464
 
0.3%
16.94997225 442
 
0.3%
Other values (87715) 111063
74.0%
ValueCountFrequency (%)
0 25723
17.1%
1.493548028 1
 
< 0.1%
1.589289213 1
 
< 0.1%
1.717197198 1
 
< 0.1%
1.957350633 1
 
< 0.1%
ValueCountFrequency (%)
62.12071656 1
< 0.1%
61.54797167 1
< 0.1%
61.03655175 1
< 0.1%
60.65458516 1
< 0.1%
60.56039458 1
< 0.1%

voice_in_roam_clc_min_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:14.543115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:14.590617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

ama_volume_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct42
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004666666663
Minimum-1.000000054
Maximum1.000000004
Zeros149924
Zeros (%)99.9%
Negative3
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:14.649621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000000054
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.000000004
Range2.000000058
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02250449436
Coefficient of variation (CV)48.22391652
Kurtosis1969.053965
Mean0.0004666666663
Median Absolute Deviation (MAD)0
Skewness40.88342269
Sum69.99999995
Variance0.0005064522665
MonotonicityNot monotonic
2024-06-11T19:35:14.722412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 149924
99.9%
1 19
 
< 0.1%
1 13
 
< 0.1%
1 2
 
< 0.1%
1 2
 
< 0.1%
1 2
 
< 0.1%
1 2
 
< 0.1%
1 2
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
Other values (32) 32
 
< 0.1%
ValueCountFrequency (%)
-1.000000054 1
 
< 0.1%
-1.000000017 1
 
< 0.1%
-1 1
 
< 0.1%
0 149924
99.9%
1 19
 
< 0.1%
ValueCountFrequency (%)
1.000000004 1
< 0.1%
1.000000002 1
< 0.1%
1.000000002 1
< 0.1%
1.000000001 1
< 0.1%
1.000000001 1
< 0.1%

ama_volume_td_mnt3
Real number (ℝ)

ZEROS 

Distinct2480
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01093333333
Minimum-1
Maximum1
Zeros141374
Zeros (%)94.2%
Negative3493
Negative (%)2.3%
Memory size1.1 MiB
2024-06-11T19:35:14.795565image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2395569065
Coefficient of variation (CV)21.91069267
Kurtosis14.32964654
Mean0.01093333333
Median Absolute Deviation (MAD)0
Skewness0.6582913524
Sum1640
Variance0.05738751147
MonotonicityNot monotonic
2024-06-11T19:35:14.871482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141374
94.2%
1 218
 
0.1%
-1 162
 
0.1%
1 160
 
0.1%
1 153
 
0.1%
1 152
 
0.1%
1 123
 
0.1%
1 105
 
0.1%
-1 102
 
0.1%
-1 101
 
0.1%
Other values (2470) 7350
 
4.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
1 1
< 0.1%
1 1
< 0.1%
1 1
< 0.1%
1 1
< 0.1%

voice_in_td_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct340
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.03856937
Minimum0
Maximum56.21540775
Zeros9017
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:14.942107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.30189811
median11.10002615
Q315.49067931
95-th percentile21.54445817
Maximum56.21540775
Range56.21540775
Interquartile range (IQR)9.188781201

Descriptive statistics

Standard deviation6.34620121
Coefficient of variation (CV)0.5749115664
Kurtosis-0.383043908
Mean11.03856937
Median Absolute Deviation (MAD)4.558468794
Skewness0.182648423
Sum1655785.406
Variance40.27426979
MonotonicityNot monotonic
2024-06-11T19:35:15.008311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9017
 
6.0%
1.480453014 4174
 
2.8%
2.206948961 3661
 
2.4%
2.921812056 3339
 
2.2%
3.590290394 3313
 
2.2%
6.749901739 3123
 
2.1%
4.786566308 3105
 
2.1%
5.827795843 3082
 
2.1%
4.210401996 3039
 
2.0%
6.30189811 3020
 
2.0%
Other values (330) 111127
74.1%
ValueCountFrequency (%)
0 9017
6.0%
1.480453014 4174
2.8%
2.206948961 3661
2.4%
2.921812056 3339
 
2.2%
3.590290394 3313
 
2.2%
ValueCountFrequency (%)
56.21540775 1
< 0.1%
53.1654599 1
< 0.1%
47.70504225 1
< 0.1%
44.89582403 1
< 0.1%
42.73036556 1
< 0.1%

sms_clc_std_mnt3
Real number (ℝ)

ZEROS 

Distinct4375
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4553232582
Minimum0
Maximum30.03909523
Zeros100125
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:15.075974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.085479715
95-th percentile1.525177495
Maximum30.03909523
Range30.03909523
Interquartile range (IQR)1.085479715

Descriptive statistics

Standard deviation0.8028394411
Coefficient of variation (CV)1.763229588
Kurtosis91.23152996
Mean0.4553232582
Median Absolute Deviation (MAD)0
Skewness5.525861826
Sum68298.48873
Variance0.6445511681
MonotonicityNot monotonic
2024-06-11T19:35:15.142936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100125
66.8%
1.085479715 11579
 
7.7%
1.085391526 6119
 
4.1%
1.142133535 2698
 
1.8%
1.141992637 2339
 
1.6%
1.268542924 1892
 
1.3%
1.181991567 1383
 
0.9%
1.142133535 1229
 
0.8%
1.181815282 853
 
0.6%
1.301215796 673
 
0.4%
Other values (4365) 21110
 
14.1%
ValueCountFrequency (%)
0 100125
66.8%
1.000000053 1
 
< 0.1%
1.001734109 1
 
< 0.1%
1.001916032 1
 
< 0.1%
1.001940294 1
 
< 0.1%
ValueCountFrequency (%)
30.03909523 1
< 0.1%
28.17670783 1
< 0.1%
24.69913846 1
< 0.1%
22.76865348 1
< 0.1%
21.90151546 1
< 0.1%

voice_in_kievstar_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct96184
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8329631115
Minimum0
Maximum1.176549816
Zeros27871
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:15.212673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000327242
median1.004406634
Q31.020488446
95-th percentile1.093186774
Maximum1.176549816
Range1.176549816
Interquartile range (IQR)0.02016120458

Descriptive statistics

Standard deviation0.3990693457
Coefficient of variation (CV)0.479096061
Kurtosis0.5787839974
Mean0.8329631115
Median Absolute Deviation (MAD)0.009789434172
Skewness-1.592438239
Sum124944.4667
Variance0.1592563427
MonotonicityNot monotonic
2024-06-11T19:35:15.286264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27871
 
18.6%
1.064320397 2205
 
1.5%
1.01817803 872
 
0.6%
1.10808554 738
 
0.5%
1.008440556 711
 
0.5%
1.00485579 567
 
0.4%
1.003150561 483
 
0.3%
1.001633101 426
 
0.3%
1.002208149 419
 
0.3%
1.00099675 366
 
0.2%
Other values (96174) 115342
76.9%
ValueCountFrequency (%)
0 27871
18.6%
1.000001784 1
 
< 0.1%
1.000002431 1
 
< 0.1%
1.000002484 1
 
< 0.1%
1.000002651 1
 
< 0.1%
ValueCountFrequency (%)
1.176549816 78
0.1%
1.174994872 1
 
< 0.1%
1.174357194 1
 
< 0.1%
1.174252596 1
 
< 0.1%
1.173711367 2
 
< 0.1%

gprs_tar_vol_td_mnt3
Real number (ℝ)

ZEROS 

Distinct80981
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014563123
Minimum-229.1290294
Maximum231.4991042
Zeros44034
Zeros (%)29.4%
Negative47766
Negative (%)31.8%
Memory size1.1 MiB
2024-06-11T19:35:15.357169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-229.1290294
5-th percentile-84.63091637
Q1-3.810109474
median0
Q310.21726364
95-th percentile88.94427704
Maximum231.4991042
Range460.6281336
Interquartile range (IQR)14.02737312

Descriptive statistics

Standard deviation45.6305828
Coefficient of variation (CV)22.65036141
Kurtosis2.19964343
Mean2.014563123
Median Absolute Deviation (MAD)7.04928325
Skewness0.01898743795
Sum302184.4684
Variance2082.150087
MonotonicityNot monotonic
2024-06-11T19:35:15.426373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44034
29.4%
1.00095998 149
 
0.1%
1.001424332 131
 
0.1%
1.000108887 115
 
0.1%
-1.000300379 112
 
0.1%
1.000584711 112
 
0.1%
-1.00095998 110
 
0.1%
1.000300379 104
 
0.1%
3.490669059 100
 
0.1%
-1.000584711 99
 
0.1%
Other values (80971) 104934
70.0%
ValueCountFrequency (%)
-229.1290294 1
< 0.1%
-219.9165373 1
< 0.1%
-212.1813538 1
< 0.1%
-209.9440744 1
< 0.1%
-206.0865149 1
< 0.1%
ValueCountFrequency (%)
231.4991042 1
< 0.1%
214.4113813 1
< 0.1%
212.9269525 1
< 0.1%
203.0026518 1
< 0.1%
199.2575742 1
< 0.1%

accum_mts_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct12236
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3061756287
Minimum-1.000000217
Maximum1.00175117
Zeros70594
Zeros (%)47.1%
Negative16740
Negative (%)11.2%
Memory size1.1 MiB
2024-06-11T19:35:15.494938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000000217
5-th percentile-1
Q10
median0
Q31.000000073
95-th percentile1.000013129
Maximum1.00175117
Range2.001751387
Interquartile range (IQR)1.000000073

Descriptive statistics

Standard deviation0.6600282667
Coefficient of variation (CV)2.155717846
Kurtosis-0.7563359899
Mean0.3061756287
Median Absolute Deviation (MAD)1
Skewness-0.4266159205
Sum45926.3443
Variance0.4356373128
MonotonicityNot monotonic
2024-06-11T19:35:15.570545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70594
47.1%
-1 8498
 
5.7%
-1 3101
 
2.1%
1 2061
 
1.4%
-1 1574
 
1.0%
1 1051
 
0.7%
-1 991
 
0.7%
1 968
 
0.6%
1 771
 
0.5%
1 617
 
0.4%
Other values (12226) 59774
39.8%
ValueCountFrequency (%)
-1.000000217 1
< 0.1%
-1.000000212 1
< 0.1%
-1.000000102 1
< 0.1%
-1.00000009 1
< 0.1%
-1.000000055 1
< 0.1%
ValueCountFrequency (%)
1.00175117 1
< 0.1%
1.000912295 1
< 0.1%
1.000617458 1
< 0.1%
1.000536147 1
< 0.1%
1.000431303 1
< 0.1%

goodok_clc_std_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:15.627572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:15.674863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_fix_tar_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct2218
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.192930505
Minimum0
Maximum92.74139493
Zeros107879
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:15.735569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.921812056
95-th percentile18.77317588
Maximum92.74139493
Range92.74139493
Interquartile range (IQR)2.921812056

Descriptive statistics

Standard deviation7.132925931
Coefficient of variation (CV)2.233974689
Kurtosis12.58289226
Mean3.192930505
Median Absolute Deviation (MAD)0
Skewness3.143812866
Sum478939.5757
Variance50.87863234
MonotonicityNot monotonic
2024-06-11T19:35:15.885484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107879
71.9%
1.049793044 872
 
0.6%
3.749720354 695
 
0.5%
3.427814651 677
 
0.5%
4.059700132 629
 
0.4%
4.210401996 626
 
0.4%
3.093574543 621
 
0.4%
3.906166058 612
 
0.4%
3.590290394 603
 
0.4%
4.358354821 539
 
0.4%
Other values (2208) 36247
 
24.2%
ValueCountFrequency (%)
0 107879
71.9%
1.049793044 872
 
0.6%
1.164401954 217
 
0.1%
1.31316983 200
 
0.1%
1.480453014 232
 
0.2%
ValueCountFrequency (%)
92.74139493 1
< 0.1%
92.69891867 1
< 0.1%
87.76322372 1
< 0.1%
84.99967719 1
< 0.1%
83.68863073 1
< 0.1%

conn_in_uniq_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct157
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.057152269
Minimum0
Maximum45.36326133
Zeros7683
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:15.949575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.590290394
median5.827795843
Q38.333535892
95-th percentile12.33868121
Maximum45.36326133
Range45.36326133
Interquartile range (IQR)4.743245498

Descriptive statistics

Standard deviation3.511110631
Coefficient of variation (CV)0.5796635903
Kurtosis1.122264132
Mean6.057152269
Median Absolute Deviation (MAD)2.237505449
Skewness0.6876666804
Sum908572.8404
Variance12.32789787
MonotonicityNot monotonic
2024-06-11T19:35:16.012971image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.210401996 9968
 
6.6%
3.590290394 9831
 
6.6%
4.786566308 9538
 
6.4%
2.921812056 9362
 
6.2%
5.324077125 9253
 
6.2%
2.206948961 8656
 
5.8%
5.827795843 8500
 
5.7%
6.30189811 7853
 
5.2%
0 7683
 
5.1%
1.480453014 7520
 
5.0%
Other values (147) 61836
41.2%
ValueCountFrequency (%)
0 7683
5.1%
1.480453014 7520
5.0%
2.206948961 8656
5.8%
2.921812056 9362
6.2%
3.590290394 9831
6.6%
ValueCountFrequency (%)
45.36326133 1
< 0.1%
33.26436087 1
< 0.1%
32.6701194 1
< 0.1%
32.62957291 1
< 0.1%
32.00646051 1
< 0.1%

pay_sum_std_mnt3
Real number (ℝ)

ZEROS 

Distinct35534
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.85049662
Minimum0
Maximum123.6272649
Zeros25610
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:16.075947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.53805583
median17.09828818
Q319.45059811
95-th percentile24.34737159
Maximum123.6272649
Range123.6272649
Interquartile range (IQR)6.91254228

Descriptive statistics

Standard deviation8.100469873
Coefficient of variation (CV)0.5454679451
Kurtosis0.3340471998
Mean14.85049662
Median Absolute Deviation (MAD)2.977169662
Skewness-0.585929489
Sum2227574.493
Variance65.61761217
MonotonicityNot monotonic
2024-06-11T19:35:16.146619image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25610
 
17.1%
15.69616379 2685
 
1.8%
17.09828818 2074
 
1.4%
15.93930484 1598
 
1.1%
18.9080105 1435
 
1.0%
15.37178221 1400
 
0.9%
17.67972932 1395
 
0.9%
14.59397912 1384
 
0.9%
17.7356038 1352
 
0.9%
17.58962437 1309
 
0.9%
Other values (35524) 109758
73.2%
ValueCountFrequency (%)
0 25610
17.1%
1.000809897 2
 
< 0.1%
1.004487315 1
 
< 0.1%
1.005237753 1
 
< 0.1%
1.0060417 1
 
< 0.1%
ValueCountFrequency (%)
123.6272649 1
< 0.1%
76.89647991 1
< 0.1%
68.90940411 1
< 0.1%
67.57623146 1
< 0.1%
67.3637259 1
< 0.1%

pay_max_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1056
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.775858216
Minimum0
Maximum72.49599656
Zeros120001
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:16.212949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27.9089715
Maximum72.49599656
Range72.49599656
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.05853644
Coefficient of variation (CV)2.106121242
Kurtosis1.725758728
Mean4.775858216
Median Absolute Deviation (MAD)0
Skewness1.803170764
Sum716378.7324
Variance101.1741553
MonotonicityNot monotonic
2024-06-11T19:35:16.286596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120001
80.0%
22.29933738 3166
 
2.1%
26.17309696 2747
 
1.8%
23.99960696 2411
 
1.6%
29.12504295 1851
 
1.2%
24.76754894 1761
 
1.2%
24.38962268 1449
 
1.0%
31.96388736 1188
 
0.8%
25.49022445 1130
 
0.8%
28.02437138 916
 
0.6%
Other values (1046) 13380
 
8.9%
ValueCountFrequency (%)
0 120001
80.0%
1.00908403 1
 
< 0.1%
1.010891013 1
 
< 0.1%
1.03324115 1
 
< 0.1%
1.03324115 1
 
< 0.1%
ValueCountFrequency (%)
72.49599656 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%
65.37213434 1
< 0.1%

vas_clc_td_mnt3
Real number (ℝ)

ZEROS 

Distinct32774
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0536400891
Minimum-19.24379226
Maximum23.58360868
Zeros64064
Zeros (%)42.7%
Negative40285
Negative (%)26.9%
Memory size1.1 MiB
2024-06-11T19:35:16.360810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-19.24379226
5-th percentile-1.654872742
Q1-1.00018546
median0
Q31.001321381
95-th percentile1.784300631
Maximum23.58360868
Range42.82740094
Interquartile range (IQR)2.001506842

Descriptive statistics

Standard deviation1.414988743
Coefficient of variation (CV)26.37931381
Kurtosis29.08052903
Mean0.0536400891
Median Absolute Deviation (MAD)1.00059409
Skewness0.4181515349
Sum8046.013364
Variance2.002193143
MonotonicityNot monotonic
2024-06-11T19:35:16.430075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64064
42.7%
1.036693105 880
 
0.6%
1.00839761 850
 
0.6%
-1.00839761 823
 
0.5%
1.025391069 811
 
0.5%
1.015892394 794
 
0.5%
1.003134246 784
 
0.5%
-1.025391069 784
 
0.5%
1.00036145 723
 
0.5%
-1.003134246 720
 
0.5%
Other values (32764) 78767
52.5%
ValueCountFrequency (%)
-19.24379226 1
< 0.1%
-18.3843501 1
< 0.1%
-17.32699703 1
< 0.1%
-17.18816915 1
< 0.1%
-16.70066489 1
< 0.1%
ValueCountFrequency (%)
23.58360868 1
 
< 0.1%
22.25791238 3
< 0.1%
22.21559006 1
 
< 0.1%
21.60450094 1
 
< 0.1%
21.22089067 1
 
< 0.1%

all_home_clc_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct14441
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.368407532
Minimum0
Maximum53.10482262
Zeros89709
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:16.498237image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.746290425
95-th percentile6.923052447
Maximum53.10482262
Range53.10482262
Interquartile range (IQR)1.746290425

Descriptive statistics

Standard deviation2.686646881
Coefficient of variation (CV)1.963338272
Kurtosis15.54314131
Mean1.368407532
Median Absolute Deviation (MAD)0
Skewness3.337895554
Sum205261.1299
Variance7.218071462
MonotonicityNot monotonic
2024-06-11T19:35:16.568866image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89709
59.8%
1.066468818 5366
 
3.6%
1.746290425 4558
 
3.0%
1.066399103 3004
 
2.0%
1.213999962 1444
 
1.0%
2.178075686 1278
 
0.9%
2.743301695 1227
 
0.8%
1.213796097 942
 
0.6%
1.213912585 932
 
0.6%
1.032049758 733
 
0.5%
Other values (14431) 40807
27.2%
ValueCountFrequency (%)
0 89709
59.8%
1.000000001 609
 
0.4%
1.000000002 179
 
0.1%
1.000000006 60
 
< 0.1%
1.00000001 29
 
< 0.1%
ValueCountFrequency (%)
53.10482262 1
< 0.1%
44.07148351 1
< 0.1%
34.98699584 1
< 0.1%
33.80107773 1
< 0.1%
31.99001118 1
< 0.1%

voice_in_cmpttrs_td_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct2015
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.159130539
Minimum0
Maximum25.28978252
Zeros33993
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:16.639459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.164401954
median1.687217756
Q32.997163746
95-th percentile6.123505321
Maximum25.28978252
Range25.28978252
Interquartile range (IQR)1.832761792

Descriptive statistics

Standard deviation2.021123676
Coefficient of variation (CV)0.9360822051
Kurtosis4.458717284
Mean2.159130539
Median Absolute Deviation (MAD)1.14567534
Skewness1.627721346
Sum323869.5808
Variance4.084940912
MonotonicityNot monotonic
2024-06-11T19:35:16.712025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33993
22.7%
1.164401954 14617
 
9.7%
1.45108808 7163
 
4.8%
1.207704776 5930
 
4.0%
1.480453014 4861
 
3.2%
1.839588705 4490
 
3.0%
1.7768194 3218
 
2.1%
1.356301179 3152
 
2.1%
1.663597369 2719
 
1.8%
1.992306409 2504
 
1.7%
Other values (2005) 67353
44.9%
ValueCountFrequency (%)
0 33993
22.7%
1.164401954 14617
9.7%
1.207704776 5930
 
4.0%
1.356301179 3152
 
2.1%
1.45108808 7163
 
4.8%
ValueCountFrequency (%)
25.28978252 1
< 0.1%
24.92486142 1
< 0.1%
22.85845252 1
< 0.1%
22.09848307 1
< 0.1%
21.87609336 1
< 0.1%

accum_oth_dur_min_mnt3
Real number (ℝ)

ZEROS 

Distinct285
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04016009082
Minimum-1
Maximum1.000186226
Zeros128608
Zeros (%)85.7%
Negative7684
Negative (%)5.1%
Memory size1.1 MiB
2024-06-11T19:35:16.782167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile1.000000058
Maximum1.000186226
Range2.000186226
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.375501827
Coefficient of variation (CV)9.35012395
Kurtosis3.917995263
Mean0.04016009082
Median Absolute Deviation (MAD)0
Skewness0.4364447262
Sum6024.013623
Variance0.1410016221
MonotonicityNot monotonic
2024-06-11T19:35:16.857799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128608
85.7%
-1 5449
 
3.6%
1.000000004 2688
 
1.8%
1.000000014 1728
 
1.2%
-1 1308
 
0.9%
1.000000032 1205
 
0.8%
1.000000058 995
 
0.7%
1.00000009 766
 
0.5%
1.00000013 655
 
0.4%
1.000000176 542
 
0.4%
Other values (275) 6056
 
4.0%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 1
 
< 0.1%
-1 36
 
< 0.1%
-1 48
 
< 0.1%
-1 125
0.1%
ValueCountFrequency (%)
1.000186226 1
< 0.1%
1.000127152 1
< 0.1%
1.000110347 1
< 0.1%
1.000101787 1
< 0.1%
1.000100592 1
< 0.1%

sms_in_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct1171
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.093116041
Minimum0
Maximum53.78138758
Zeros16251
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:16.931988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.058159138
median1.480453014
Q32.509618707
95-th percentile5.868382912
Maximum53.78138758
Range53.78138758
Interquartile range (IQR)1.451459569

Descriptive statistics

Standard deviation2.023433792
Coefficient of variation (CV)0.9667088458
Kurtosis24.88997821
Mean2.093116041
Median Absolute Deviation (MAD)0.4740461789
Skewness3.455883068
Sum313967.4062
Variance4.094284312
MonotonicityNot monotonic
2024-06-11T19:35:17.004598image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16251
 
10.8%
1.006406835 7501
 
5.0%
1.023762432 7063
 
4.7%
1.049793044 6054
 
4.0%
1.082760975 5782
 
3.9%
1.121317553 5231
 
3.5%
1.164401954 5054
 
3.4%
1.211169962 4496
 
3.0%
1.260942818 4304
 
2.9%
1.31316983 3891
 
2.6%
Other values (1161) 84373
56.2%
ValueCountFrequency (%)
0 16251
10.8%
1.006406835 7501
5.0%
1.00757098 77
 
0.1%
1.00908403 66
 
< 0.1%
1.011100838 85
 
0.1%
ValueCountFrequency (%)
53.78138758 1
< 0.1%
38.84083893 1
< 0.1%
38.60969917 1
< 0.1%
35.94285544 1
< 0.1%
35.93484698 1
< 0.1%

voice_out_short_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct76447
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7840685805
Minimum0
Maximum1.411494725
Zeros32582
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:17.071760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000023912
median1.000301387
Q31.001000905
95-th percentile1.005478733
Maximum1.411494725
Range1.411494725
Interquartile range (IQR)0.0009769931875

Descriptive statistics

Standard deviation0.4130557009
Coefficient of variation (CV)0.5268106785
Kurtosis-0.119178171
Mean0.7840685805
Median Absolute Deviation (MAD)0.0005386133199
Skewness-1.37102661
Sum117610.2871
Variance0.170615012
MonotonicityNot monotonic
2024-06-11T19:35:17.224474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32582
 
21.7%
1.006406835 1448
 
1.0%
1.001666435 1377
 
0.9%
1.000750704 1276
 
0.9%
1.000425155 1255
 
0.8%
1.000273218 1084
 
0.7%
1.000190256 1063
 
0.7%
1.000140054 846
 
0.6%
1.000107387 831
 
0.6%
1.000084947 734
 
0.5%
Other values (76437) 107504
71.7%
ValueCountFrequency (%)
0 32582
21.7%
1.000000398 1
 
< 0.1%
1.000000417 1
 
< 0.1%
1.000000444 1
 
< 0.1%
1.00000049 1
 
< 0.1%
ValueCountFrequency (%)
1.411494725 1
< 0.1%
1.362493154 1
< 0.1%
1.309621172 1
< 0.1%
1.307717468 1
< 0.1%
1.295517754 1
< 0.1%

data_3g_tar_vol_std_mnt3
Real number (ℝ)

ZEROS 

Distinct108256
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.210822
Minimum0
Maximum326.8603092
Zeros40297
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:17.294657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median131.3403357
Q3175.8271085
95-th percentile218.2496026
Maximum326.8603092
Range326.8603092
Interquartile range (IQR)175.8271085

Descriptive statistics

Standard deviation81.64867928
Coefficient of variation (CV)0.761571246
Kurtosis-1.457931084
Mean107.210822
Median Absolute Deviation (MAD)62.30890174
Skewness-0.1997297734
Sum16081623.3
Variance6666.506828
MonotonicityNot monotonic
2024-06-11T19:35:17.363429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40297
 
26.9%
1.064320397 157
 
0.1%
1.207704776 82
 
0.1%
1.38913981 60
 
< 0.1%
12.53805583 48
 
< 0.1%
1.589289213 46
 
< 0.1%
2.010130606 36
 
< 0.1%
12.53805583 29
 
< 0.1%
2.843006294 27
 
< 0.1%
2.432251801 26
 
< 0.1%
Other values (108246) 109192
72.8%
ValueCountFrequency (%)
0 40297
26.9%
1.000125737 3
 
< 0.1%
1.000180658 2
 
< 0.1%
1.000211786 21
 
< 0.1%
1.000281337 6
 
< 0.1%
ValueCountFrequency (%)
326.8603092 1
< 0.1%
324.2185482 1
< 0.1%
314.7295972 1
< 0.1%
311.7639517 1
< 0.1%
307.6010266 1
< 0.1%

sms_out_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct336
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4454688229
Minimum0
Maximum66.29148747
Zeros115713
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:17.430950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.839588705
Maximum66.29148747
Range66.29148747
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.407759274
Coefficient of variation (CV)3.160174634
Kurtosis153.4852527
Mean0.4454688229
Median Absolute Deviation (MAD)0
Skewness9.384768448
Sum66820.32343
Variance1.981786174
MonotonicityNot monotonic
2024-06-11T19:35:17.503004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115713
77.1%
1.049793044 12684
 
8.5%
1.164401954 6280
 
4.2%
1.31316983 3367
 
2.2%
1.480453014 2291
 
1.5%
1.657607816 1488
 
1.0%
1.839588705 1172
 
0.8%
2.023336405 790
 
0.5%
2.206948961 665
 
0.4%
2.3892276 532
 
0.4%
Other values (326) 5018
 
3.3%
ValueCountFrequency (%)
0 115713
77.1%
1.049793044 12684
 
8.5%
1.164401954 6280
 
4.2%
1.31316983 3367
 
2.2%
1.480453014 2291
 
1.5%
ValueCountFrequency (%)
66.29148747 1
< 0.1%
42.52170427 1
< 0.1%
38.70479708 1
< 0.1%
36.94251337 1
< 0.1%
36.73193059 1
< 0.1%

voice_out_short_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct87860
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01794727708
Minimum-1.011248633
Maximum1.010917326
Zeros32650
Zeros (%)21.8%
Negative57329
Negative (%)38.2%
Memory size1.1 MiB
2024-06-11T19:35:17.575719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.011248633
5-th percentile-1.000057558
Q1-1.000002002
median0
Q31.000002535
95-th percentile1.000061408
Maximum1.010917326
Range2.022165959
Interquartile range (IQR)2.000004537

Descriptive statistics

Standard deviation0.8843599975
Coefficient of variation (CV)49.27544126
Kurtosis-1.720371419
Mean0.01794727708
Median Absolute Deviation (MAD)1.000002248
Skewness-0.0349406897
Sum2692.091562
Variance0.7820926052
MonotonicityNot monotonic
2024-06-11T19:35:17.652280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32650
 
21.8%
1.000012183 565
 
0.4%
-1.000012183 504
 
0.3%
1.000003051 374
 
0.2%
-1.000003051 353
 
0.2%
-1.000108887 253
 
0.2%
1.000108887 242
 
0.2%
1.000027364 238
 
0.2%
1.000001357 238
 
0.2%
-1.000027364 224
 
0.1%
Other values (87850) 114359
76.2%
ValueCountFrequency (%)
-1.011248633 1
< 0.1%
-1.009360264 1
< 0.1%
-1.008888957 1
< 0.1%
-1.008783363 1
< 0.1%
-1.006175062 1
< 0.1%
ValueCountFrequency (%)
1.010917326 1
< 0.1%
1.009601574 1
< 0.1%
1.009313962 1
< 0.1%
1.009153397 1
< 0.1%
1.008754 1
< 0.1%

pay_p2p_out_sum_std_mnt3
Real number (ℝ)

ZEROS 

Distinct413
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08764665712
Minimum0
Maximum67.88548598
Zeros148548
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:17.726221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum67.88548598
Range67.88548598
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.129782565
Coefficient of variation (CV)12.89019573
Kurtosis486.7438053
Mean0.08764665712
Median Absolute Deviation (MAD)0
Skewness18.7268045
Sum13146.99857
Variance1.276408645
MonotonicityNot monotonic
2024-06-11T19:35:17.799740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148548
99.0%
2.843006294 166
 
0.1%
4.659639159 121
 
0.1%
6.143914475 61
 
< 0.1%
8.488744794 58
 
< 0.1%
3.800184121 45
 
< 0.1%
12.53805583 40
 
< 0.1%
1.798128817 38
 
< 0.1%
5.4360379 29
 
< 0.1%
17.58962437 26
 
< 0.1%
Other values (403) 868
 
0.6%
ValueCountFrequency (%)
0 148548
99.0%
1.000000001 1
 
< 0.1%
1.064320397 3
 
< 0.1%
1.207704776 13
 
< 0.1%
1.38913981 9
 
< 0.1%
ValueCountFrequency (%)
67.88548598 1
< 0.1%
57.48143682 1
< 0.1%
49.01612902 1
< 0.1%
46.15426807 1
< 0.1%
44.27934142 1
< 0.1%

content_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct2708
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5900660582
Minimum-27.19514647
Maximum16.26390696
Zeros1652
Zeros (%)1.1%
Negative45024
Negative (%)30.0%
Memory size1.1 MiB
2024-06-11T19:35:17.871540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-27.19514647
5-th percentile-1.378220844
Q1-1.008874799
median1.083769029
Q31.375897095
95-th percentile2.065773164
Maximum16.26390696
Range43.45905343
Interquartile range (IQR)2.384771893

Descriptive statistics

Standard deviation1.288075862
Coefficient of variation (CV)2.18293502
Kurtosis3.657337292
Mean0.5900660582
Median Absolute Deviation (MAD)0.4112586831
Skewness-0.6170248777
Sum88509.90873
Variance1.659139427
MonotonicityNot monotonic
2024-06-11T19:35:17.939432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1652
 
1.1%
1.052951634 337
 
0.2%
1.022243682 336
 
0.2%
1.030937527 335
 
0.2%
1.07778654 330
 
0.2%
1.011924485 327
 
0.2%
1.056839816 326
 
0.2%
1.05041874 323
 
0.2%
1.089907359 322
 
0.2%
1.080757955 321
 
0.2%
Other values (2698) 145391
96.9%
ValueCountFrequency (%)
-27.19514647 1
< 0.1%
-21.30235411 1
< 0.1%
-17.88608039 1
< 0.1%
-15.21794386 1
< 0.1%
-13.37994153 1
< 0.1%
ValueCountFrequency (%)
16.26390696 1
< 0.1%
15.27669689 1
< 0.1%
13.86941304 1
< 0.1%
13.66958179 1
< 0.1%
13.32875205 1
< 0.1%

gprs_tar_vol_mea_wk1
Real number (ℝ)

ZEROS 

Distinct25410
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.74895005
Minimum0
Maximum284.9905639
Zeros90171
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:18.004146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q333.41858567
95-th percentile135.9225345
Maximum284.9905639
Range284.9905639
Interquartile range (IQR)33.41858567

Descriptive statistics

Standard deviation45.39070884
Coefficient of variation (CV)1.834045838
Kurtosis4.832487927
Mean24.74895005
Median Absolute Deviation (MAD)0
Skewness2.256325873
Sum3712342.508
Variance2060.316449
MonotonicityNot monotonic
2024-06-11T19:35:18.070295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90171
60.1%
1.480453014 1013
 
0.7%
22.29933738 819
 
0.5%
2.206948961 717
 
0.5%
2.921812056 529
 
0.4%
3.590290394 411
 
0.3%
4.786566308 368
 
0.2%
4.210401996 339
 
0.2%
5.324077125 303
 
0.2%
5.827795843 253
 
0.2%
Other values (25400) 55077
36.7%
ValueCountFrequency (%)
0 90171
60.1%
1.001468335 2
 
< 0.1%
1.002453611 5
 
< 0.1%
1.005125651 2
 
< 0.1%
1.005658563 1
 
< 0.1%
ValueCountFrequency (%)
284.9905639 1
< 0.1%
283.9321527 1
< 0.1%
283.3045046 1
< 0.1%
282.0120649 1
< 0.1%
278.6550157 1
< 0.1%

com_num_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct1176
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.373026887
Minimum0
Maximum2.206948961
Zeros97662
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:18.138942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.013089728
95-th percentile1.164401954
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)1.013089728

Descriptive statistics

Standard deviation0.5119952669
Coefficient of variation (CV)1.372542529
Kurtosis-1.500515686
Mean0.373026887
Median Absolute Deviation (MAD)0
Skewness0.6667575051
Sum55954.03306
Variance0.2621391534
MonotonicityNot monotonic
2024-06-11T19:35:18.207046image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 97662
65.1%
1.082760975 2856
 
1.9%
1.049793044 2842
 
1.9%
1.03324115 2502
 
1.7%
1.164401954 2479
 
1.7%
1.023762432 2318
 
1.5%
1.017830633 1945
 
1.3%
1.013872843 1737
 
1.2%
1.011100838 1447
 
1.0%
1.00908403 1315
 
0.9%
Other values (1166) 32897
 
21.9%
ValueCountFrequency (%)
0 97662
65.1%
1.000031385 1
 
< 0.1%
1.000033607 1
 
< 0.1%
1.000052132 1
 
< 0.1%
1.000064516 2
 
< 0.1%
ValueCountFrequency (%)
2.206948961 1
< 0.1%
1.56817193 1
< 0.1%
1.524058486 1
< 0.1%
1.52147855 1
< 0.1%
1.494416075 1
< 0.1%

conn_out_uniq_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct407
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.694382206
Minimum0
Maximum55.96248594
Zeros19868
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:18.272120image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.023336405
median4.358354821
Q36.858181878
95-th percentile10.76290735
Maximum55.96248594
Range55.96248594
Interquartile range (IQR)4.834845474

Descriptive statistics

Standard deviation3.445124076
Coefficient of variation (CV)0.733882314
Kurtosis1.289496555
Mean4.694382206
Median Absolute Deviation (MAD)2.499827057
Skewness0.7604906633
Sum704157.3308
Variance11.8688799
MonotonicityNot monotonic
2024-06-11T19:35:18.338348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19868
 
13.2%
1.049793044 4079
 
2.7%
1.164401954 2905
 
1.9%
1.480453014 2806
 
1.9%
2.921812056 2663
 
1.8%
2.747038501 2646
 
1.8%
3.427814651 2628
 
1.8%
1.31316983 2623
 
1.7%
3.749720354 2575
 
1.7%
2.206948961 2568
 
1.7%
Other values (397) 104639
69.8%
ValueCountFrequency (%)
0 19868
13.2%
1.049793044 4079
 
2.7%
1.164401954 2905
 
1.9%
1.31316983 2623
 
1.7%
1.480453014 2806
 
1.9%
ValueCountFrequency (%)
55.96248594 1
< 0.1%
42.84618392 1
< 0.1%
34.78674749 1
< 0.1%
33.66558695 1
< 0.1%
33.38979947 1
< 0.1%

pay_p2p_in_sum_std_mnt3
Real number (ℝ)

ZEROS 

Distinct647
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1942901917
Minimum0
Maximum84.04193676
Zeros147404
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:18.406704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum84.04193676
Range84.04193676
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.698103969
Coefficient of variation (CV)8.740039599
Kurtosis165.4288015
Mean0.1942901917
Median Absolute Deviation (MAD)0
Skewness10.96577435
Sum29143.52875
Variance2.88355709
MonotonicityNot monotonic
2024-06-11T19:35:18.563380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147404
98.3%
2.843006294 178
 
0.1%
4.659639159 143
 
0.1%
15.37178221 107
 
0.1%
12.53805583 106
 
0.1%
8.488744794 100
 
0.1%
13.76988162 97
 
0.1%
12.53805583 89
 
0.1%
14.33257017 83
 
0.1%
6.143914475 79
 
0.1%
Other values (637) 1614
 
1.1%
ValueCountFrequency (%)
0 147404
98.3%
1.064320397 4
 
< 0.1%
1.088089346 1
 
< 0.1%
1.091647436 1
 
< 0.1%
1.102789099 1
 
< 0.1%
ValueCountFrequency (%)
84.04193676 1
< 0.1%
57.20840584 1
< 0.1%
48.06335386 1
< 0.1%
44.41654704 1
< 0.1%
40.18225363 1
< 0.1%

voice_mts_in_nwork_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct124992
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.204824142
Minimum-1.008268806
Maximum1.010754553
Zeros23216
Zeros (%)15.5%
Negative48035
Negative (%)32.0%
Memory size1.1 MiB
2024-06-11T19:35:18.631275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.008268806
5-th percentile-1.000292288
Q1-1.000003461
median1.000000228
Q31.000068753
95-th percentile1.000641177
Maximum1.010754553
Range2.019023359
Interquartile range (IQR)2.000072214

Descriptive statistics

Standard deviation0.8964528163
Coefficient of variation (CV)4.376695089
Kurtosis-1.628751485
Mean0.204824142
Median Absolute Deviation (MAD)0.001045541697
Skewness-0.4128874201
Sum30723.6213
Variance0.8036276519
MonotonicityNot monotonic
2024-06-11T19:35:18.705044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23216
 
15.5%
1.000300379 147
 
0.1%
1.000584711 138
 
0.1%
1.000108887 132
 
0.1%
-1.000300379 129
 
0.1%
1.001424332 127
 
0.1%
-1.001424332 120
 
0.1%
-1.000012183 117
 
0.1%
-1.00095998 112
 
0.1%
1.00095998 111
 
0.1%
Other values (124982) 125651
83.8%
ValueCountFrequency (%)
-1.008268806 1
< 0.1%
-1.007655393 1
< 0.1%
-1.00757098 1
< 0.1%
-1.007448061 1
< 0.1%
-1.007301354 1
< 0.1%
ValueCountFrequency (%)
1.010754553 1
< 0.1%
1.010012006 1
< 0.1%
1.009390065 1
< 0.1%
1.009264981 1
< 0.1%
1.009055668 1
< 0.1%

vas_clc_max_mnt1
Real number (ℝ)

ZEROS 

Distinct3108
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.772616489
Minimum0
Maximum62.86542916
Zeros96514
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:18.775768image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.46360592
95-th percentile18.66347575
Maximum62.86542916
Range62.86542916
Interquartile range (IQR)2.46360592

Descriptive statistics

Standard deviation5.851158721
Coefficient of variation (CV)2.110338283
Kurtosis11.6169315
Mean2.772616489
Median Absolute Deviation (MAD)0
Skewness3.027396602
Sum415892.4733
Variance34.23605837
MonotonicityNot monotonic
2024-06-11T19:35:18.845173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96514
64.3%
4.497536115 10090
 
6.7%
1.604773951 6632
 
4.4%
1.604273725 4395
 
2.9%
7.165976416 3170
 
2.1%
22.11876484 2455
 
1.6%
9.181785673 1742
 
1.2%
10.81975628 1213
 
0.8%
2.46360592 1170
 
0.8%
20.13969538 1087
 
0.7%
Other values (3098) 21532
 
14.4%
ValueCountFrequency (%)
0 96514
64.3%
1.000060369 4
 
< 0.1%
1.000095107 54
 
< 0.1%
1.000196043 9
 
< 0.1%
1.000376763 1
 
< 0.1%
ValueCountFrequency (%)
62.86542916 1
 
< 0.1%
62.76573354 4
< 0.1%
62.38074321 1
 
< 0.1%
61.63584073 1
 
< 0.1%
61.01672769 1
 
< 0.1%

voice_in_cmpttrs_avg_durmea_mnt1
Real number (ℝ)

ZEROS 

Distinct63967
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.02514498
Minimum0
Maximum53.9365272
Zeros33653
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:18.915205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.786566308
median17.04048855
Q324.49434488
95-th percentile35.29569011
Maximum53.9365272
Range53.9365272
Interquartile range (IQR)19.70777858

Descriptive statistics

Standard deviation11.74779951
Coefficient of variation (CV)0.7330853805
Kurtosis-0.9016033261
Mean16.02514498
Median Absolute Deviation (MAD)9.050234324
Skewness0.1077617607
Sum2403771.747
Variance138.0107932
MonotonicityNot monotonic
2024-06-11T19:35:18.987720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33653
 
22.4%
3.427814651 227
 
0.2%
4.059700132 205
 
0.1%
3.906166058 199
 
0.1%
4.358354821 197
 
0.1%
5.324077125 193
 
0.1%
5.059834182 191
 
0.1%
3.749720354 186
 
0.1%
5.579883184 185
 
0.1%
4.646352578 184
 
0.1%
Other values (63957) 114580
76.4%
ValueCountFrequency (%)
0 33653
22.4%
1.049793044 81
 
0.1%
1.101412779 3
 
< 0.1%
1.164401954 69
 
< 0.1%
1.235717839 1
 
< 0.1%
ValueCountFrequency (%)
53.9365272 1
< 0.1%
53.40861047 1
< 0.1%
53.20319967 1
< 0.1%
52.76217196 1
< 0.1%
52.28906833 1
< 0.1%

voice_mts_out_nrest_partmea_mnt3
Real number (ℝ)

ZEROS 

Distinct85497
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6999198411
Minimum0
Maximum1.156853571
Zeros45276
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:19.058054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000230082
Q31.001720754
95-th percentile1.008115817
Maximum1.156853571
Range1.156853571
Interquartile range (IQR)1.001720754

Descriptive statistics

Standard deviation0.460231657
Coefficient of variation (CV)0.6575490934
Kurtosis-1.25470542
Mean0.6999198411
Median Absolute Deviation (MAD)0.002223015579
Skewness-0.8631028098
Sum104987.9762
Variance0.2118131781
MonotonicityNot monotonic
2024-06-11T19:35:19.131022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45276
30.2%
1.006406835 896
 
0.6%
1.001666435 425
 
0.3%
1.000750704 380
 
0.3%
1.000425155 361
 
0.2%
1.000273218 324
 
0.2%
1.000190256 286
 
0.2%
1.000107387 278
 
0.2%
1.000140054 277
 
0.2%
1.000084947 245
 
0.2%
Other values (85487) 101252
67.5%
ValueCountFrequency (%)
0 45276
30.2%
1.000000007 1
 
< 0.1%
1.000000009 1
 
< 0.1%
1.000000011 1
 
< 0.1%
1.000000018 1
 
< 0.1%
ValueCountFrequency (%)
1.156853571 1
< 0.1%
1.140398844 1
< 0.1%
1.117022962 1
< 0.1%
1.11070504 1
< 0.1%
1.0907955 1
< 0.1%

non_accum_internet_vol_min_mnt1
Real number (ℝ)

ZEROS 

Distinct93214
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.45044876
Minimum-114.9051414
Maximum366.9484516
Zeros50897
Zeros (%)33.9%
Negative992
Negative (%)0.7%
Memory size1.1 MiB
2024-06-11T19:35:19.200980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-114.9051414
5-th percentile0
Q10
median78.3188074
Q3181.6848874
95-th percentile241.7601186
Maximum366.9484516
Range481.853593
Interquartile range (IQR)181.6848874

Descriptive statistics

Standard deviation93.31874227
Coefficient of variation (CV)0.9985906275
Kurtosis-1.473440119
Mean93.45044876
Median Absolute Deviation (MAD)78.3188074
Skewness0.30593507
Sum14017567.31
Variance8708.387659
MonotonicityNot monotonic
2024-06-11T19:35:19.269236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50897
33.9%
1.480453014 449
 
0.3%
2.206948961 265
 
0.2%
2.921812056 206
 
0.1%
3.590290394 189
 
0.1%
4.210401996 149
 
0.1%
4.786566308 139
 
0.1%
5.324077125 128
 
0.1%
5.827795843 103
 
0.1%
6.749901739 101
 
0.1%
Other values (93204) 97374
64.9%
ValueCountFrequency (%)
-114.9051414 1
< 0.1%
-114.8015105 1
< 0.1%
-114.7956096 1
< 0.1%
-114.713187 1
< 0.1%
-114.6653943 1
< 0.1%
ValueCountFrequency (%)
366.9484516 1
< 0.1%
355.709148 1
< 0.1%
342.4132868 1
< 0.1%
335.5310829 1
< 0.1%
335.1508953 1
< 0.1%

pay_sum_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct10219
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.51027995
Minimum-51.81297711
Maximum97.7216633
Zeros25610
Zeros (%)17.1%
Negative15
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:19.334872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-51.81297711
5-th percentile0
Q16.749901739
median11.66591158
Q314.4685436
95-th percentile19.27005613
Maximum97.7216633
Range149.5346404
Interquartile range (IQR)7.718641864

Descriptive statistics

Standard deviation6.281516197
Coefficient of variation (CV)0.5976545085
Kurtosis0.0447705294
Mean10.51027995
Median Absolute Deviation (MAD)3.495282664
Skewness-0.2764243326
Sum1576541.992
Variance39.45744573
MonotonicityNot monotonic
2024-06-11T19:35:19.404989image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25610
 
17.1%
11.61519305 5399
 
3.6%
9.246543868 3227
 
2.2%
12.79226812 3113
 
2.1%
13.50412131 2747
 
1.8%
14.32730559 2259
 
1.5%
10.507589 2242
 
1.5%
13.33095137 2144
 
1.4%
10.26911687 2053
 
1.4%
5.988934212 1881
 
1.3%
Other values (10209) 99325
66.2%
ValueCountFrequency (%)
-51.81297711 1
< 0.1%
-23.18222014 1
< 0.1%
-19.31538513 1
< 0.1%
-18.1040124 1
< 0.1%
-16.2151381 1
< 0.1%
ValueCountFrequency (%)
97.7216633 1
< 0.1%
70.21335527 1
< 0.1%
65.77829068 1
< 0.1%
61.62138653 1
< 0.1%
58.90095 1
< 0.1%

Ama_rchrgmnt_sum_std_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:19.460461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:19.506849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

content_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct4354
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.518820591
Minimum0
Maximum38.41832911
Zeros2745
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:19.568471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.88286485
Q14.975728823
median6.451284171
Q38.02090452
95-th percentile10.38499543
Maximum38.41832911
Range38.41832911
Interquartile range (IQR)3.045175697

Descriptive statistics

Standard deviation2.41860628
Coefficient of variation (CV)0.3710189975
Kurtosis2.426943481
Mean6.518820591
Median Absolute Deviation (MAD)1.529651328
Skewness0.3350299833
Sum977823.0886
Variance5.84965634
MonotonicityNot monotonic
2024-06-11T19:35:19.642626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2745
 
1.8%
3.951587916 538
 
0.4%
5.004090188 530
 
0.4%
4.205419201 527
 
0.4%
5.141126722 505
 
0.3%
4.73583039 495
 
0.3%
3.906166058 483
 
0.3%
5.731972983 468
 
0.3%
5.579883184 465
 
0.3%
5.534728522 462
 
0.3%
Other values (4344) 142782
95.2%
ValueCountFrequency (%)
0 2745
1.8%
1.164401954 281
 
0.2%
1.207704776 56
 
< 0.1%
1.356301179 22
 
< 0.1%
1.45108808 102
 
0.1%
ValueCountFrequency (%)
38.41832911 1
< 0.1%
35.25599098 1
< 0.1%
34.6287812 1
< 0.1%
33.31594809 1
< 0.1%
31.90347633 1
< 0.1%

voice_out_cmpttrs_td_cntmea_mnt1
Real number (ℝ)

ZEROS 

Distinct482
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.164290385
Minimum0
Maximum39.60269825
Zeros42377
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:19.714790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.657607816
Q34.646352578
95-th percentile11.10002615
Maximum39.60269825
Range39.60269825
Interquartile range (IQR)4.646352578

Descriptive statistics

Standard deviation3.74560864
Coefficient of variation (CV)1.183712044
Kurtosis3.324894471
Mean3.164290385
Median Absolute Deviation (MAD)1.657607816
Skewness1.712843676
Sum474643.5577
Variance14.02958409
MonotonicityNot monotonic
2024-06-11T19:35:19.787966image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42377
28.3%
1.049793044 10400
 
6.9%
1.164401954 7439
 
5.0%
1.31316983 5907
 
3.9%
1.480453014 4958
 
3.3%
1.657607816 4222
 
2.8%
1.839588705 3794
 
2.5%
2.023336405 3399
 
2.3%
2.206948961 3051
 
2.0%
2.3892276 2797
 
1.9%
Other values (472) 61656
41.1%
ValueCountFrequency (%)
0 42377
28.3%
1.049793044 10400
 
6.9%
1.164401954 7439
 
5.0%
1.31316983 5907
 
3.9%
1.480453014 4958
 
3.3%
ValueCountFrequency (%)
39.60269825 1
< 0.1%
35.54777792 1
< 0.1%
35.38217056 1
< 0.1%
32.58890589 1
< 0.1%
31.98519063 1
< 0.1%

voice_in_cmpttrs_avg_durmin_mnt3
Real number (ℝ)

ZEROS 

Distinct9461
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.181877424
Minimum0
Maximum48.39935912
Zeros116857
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:19.859934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.47943649
Maximum48.39935912
Range48.39935912
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.472330916
Coefficient of variation (CV)2.034123272
Kurtosis2.945923925
Mean3.181877424
Median Absolute Deviation (MAD)0
Skewness1.935610612
Sum477281.6136
Variance41.89106749
MonotonicityNot monotonic
2024-06-11T19:35:20.018418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116857
77.9%
8.333535892 294
 
0.2%
7.964623589 285
 
0.2%
9.354248899 284
 
0.2%
10.26911687 282
 
0.2%
9.669720902 280
 
0.2%
8.687248223 274
 
0.2%
7.578965206 270
 
0.2%
11.10002615 269
 
0.2%
6.749901739 261
 
0.2%
Other values (9451) 30644
 
20.4%
ValueCountFrequency (%)
0 116857
77.9%
1.480453014 111
 
0.1%
1.699310758 1
 
< 0.1%
1.839588705 5
 
< 0.1%
2.206948961 80
 
0.1%
ValueCountFrequency (%)
48.39935912 1
< 0.1%
48.27398089 1
< 0.1%
45.86443496 1
< 0.1%
45.33998515 1
< 0.1%
44.60013822 1
< 0.1%

conn_in_uniq_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.845190342
Minimum0
Maximum43.69039658
Zeros26362
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.088611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.480453014
median3.590290394
Q35.827795843
95-th percentile9.354248899
Maximum43.69039658
Range43.69039658
Interquartile range (IQR)4.347342829

Descriptive statistics

Standard deviation3.094918486
Coefficient of variation (CV)0.8048804378
Kurtosis1.881991436
Mean3.845190342
Median Absolute Deviation (MAD)2.10983738
Skewness1.037281078
Sum576778.5513
Variance9.578520433
MonotonicityNot monotonic
2024-06-11T19:35:20.155886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26362
17.6%
1.480453014 16583
11.1%
2.206948961 15455
10.3%
2.921812056 14129
9.4%
3.590290394 12394
8.3%
4.210401996 10692
7.1%
4.786566308 9128
 
6.1%
5.324077125 7494
 
5.0%
5.827795843 6234
 
4.2%
6.30189811 5256
 
3.5%
Other values (105) 26273
17.5%
ValueCountFrequency (%)
0 26362
17.6%
1.480453014 16583
11.1%
2.206948961 15455
10.3%
2.921812056 14129
9.4%
3.590290394 12394
8.3%
ValueCountFrequency (%)
43.69039658 1
< 0.1%
30.80707399 1
< 0.1%
28.80452434 1
< 0.1%
27.49669939 1
< 0.1%
26.88363647 1
< 0.1%

voice_in_tar_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct85889
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.86589199
Minimum0
Maximum146.2290974
Zeros5291
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.221237image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.868382912
Q144.8503584
median62.54952882
Q376.52860084
95-th percentile93.31834561
Maximum146.2290974
Range146.2290974
Interquartile range (IQR)31.67824245

Descriptive statistics

Standard deviation24.6207711
Coefficient of variation (CV)0.4182518989
Kurtosis-0.05845201747
Mean58.86589199
Median Absolute Deviation (MAD)15.45556933
Skewness-0.6050227426
Sum8829883.799
Variance606.1823697
MonotonicityNot monotonic
2024-06-11T19:35:20.290945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5291
 
3.5%
4.210401996 43
 
< 0.1%
1.778610665 40
 
< 0.1%
2.084626173 40
 
< 0.1%
1.480453014 40
 
< 0.1%
1.839588705 39
 
< 0.1%
1.900753899 39
 
< 0.1%
2.569415055 39
 
< 0.1%
1.657607816 39
 
< 0.1%
1.597822603 37
 
< 0.1%
Other values (85879) 144353
96.2%
ValueCountFrequency (%)
0 5291
3.5%
1.006406835 35
 
< 0.1%
1.00757098 1
 
< 0.1%
1.00908403 3
 
< 0.1%
1.017830633 3
 
< 0.1%
ValueCountFrequency (%)
146.2290974 1
< 0.1%
144.0090867 1
< 0.1%
142.2880284 1
< 0.1%
139.5296412 1
< 0.1%
137.7064663 1
< 0.1%

conn_out_uniq_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct150
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.515235452
Minimum0
Maximum55.29242973
Zeros31556
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.357844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.480453014
median4.210401996
Q36.749901739
95-th percentile10.83132398
Maximum55.29242973
Range55.29242973
Interquartile range (IQR)5.269448725

Descriptive statistics

Standard deviation3.645442244
Coefficient of variation (CV)0.807364817
Kurtosis1.204817341
Mean4.515235452
Median Absolute Deviation (MAD)2.729948982
Skewness0.7696229507
Sum677285.3178
Variance13.28924916
MonotonicityNot monotonic
2024-06-11T19:35:20.424895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31556
21.0%
2.921812056 9886
 
6.6%
2.206948961 9613
 
6.4%
1.480453014 9583
 
6.4%
3.590290394 9491
 
6.3%
4.210401996 9215
 
6.1%
4.786566308 8540
 
5.7%
5.324077125 7738
 
5.2%
5.827795843 6973
 
4.6%
6.30189811 6038
 
4.0%
Other values (140) 41367
27.6%
ValueCountFrequency (%)
0 31556
21.0%
1.480453014 9583
 
6.4%
2.206948961 9613
 
6.4%
2.921812056 9886
 
6.6%
3.590290394 9491
 
6.3%
ValueCountFrequency (%)
55.29242973 1
< 0.1%
44.80770573 1
< 0.1%
40.25399929 1
< 0.1%
37.82578912 1
< 0.1%
37.79766736 1
< 0.1%

voice_out_td_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct376
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.65458687
Minimum0
Maximum46.89010926
Zeros20950
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.492551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.786566308
median10.83132398
Q315.82363655
95-th percentile22.39037352
Maximum46.89010926
Range46.89010926
Interquartile range (IQR)11.03707025

Descriptive statistics

Standard deviation7.179737238
Coefficient of variation (CV)0.6738635038
Kurtosis-0.6517161497
Mean10.65458687
Median Absolute Deviation (MAD)5.507246853
Skewness0.1763705073
Sum1598188.03
Variance51.5486268
MonotonicityNot monotonic
2024-06-11T19:35:20.559207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20950
 
14.0%
1.480453014 3944
 
2.6%
2.206948961 3077
 
2.1%
3.590290394 2721
 
1.8%
2.921812056 2700
 
1.8%
4.210401996 2626
 
1.8%
5.827795843 2573
 
1.7%
5.324077125 2530
 
1.7%
7.174761058 2506
 
1.7%
6.30189811 2489
 
1.7%
Other values (366) 103884
69.3%
ValueCountFrequency (%)
0 20950
14.0%
1.480453014 3944
 
2.6%
2.206948961 3077
 
2.1%
2.921812056 2700
 
1.8%
3.590290394 2721
 
1.8%
ValueCountFrequency (%)
46.89010926 1
< 0.1%
45.9820024 1
< 0.1%
42.89126656 1
< 0.1%
41.46616921 1
< 0.1%
40.46687548 1
< 0.1%

voice_in_fix_tar_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct30246
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.815378639
Minimum0
Maximum82.81682726
Zeros84304
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.625521image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.130577985
95-th percentile26.07491026
Maximum82.81682726
Range82.81682726
Interquartile range (IQR)9.130577985

Descriptive statistics

Standard deviation9.217672658
Coefficient of variation (CV)1.58505116
Kurtosis3.954327697
Mean5.815378639
Median Absolute Deviation (MAD)0
Skewness1.939777048
Sum872306.7959
Variance84.96548923
MonotonicityNot monotonic
2024-06-11T19:35:20.691707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84304
56.2%
1.064320397 1001
 
0.7%
3.800184121 637
 
0.4%
4.326715255 623
 
0.4%
4.494900233 623
 
0.4%
4.659639159 594
 
0.4%
4.154953529 540
 
0.4%
3.042659816 536
 
0.4%
4.82106116 499
 
0.3%
5.134454613 467
 
0.3%
Other values (30236) 60176
40.1%
ValueCountFrequency (%)
0 84304
56.2%
1.064320397 1001
 
0.7%
1.069446038 6
 
< 0.1%
1.075498494 3
 
< 0.1%
1.082760975 6
 
< 0.1%
ValueCountFrequency (%)
82.81682726 1
< 0.1%
80.4738598 1
< 0.1%
79.59147355 1
< 0.1%
78.47748305 1
< 0.1%
75.94176522 1
< 0.1%

voice_out_fix_tar_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.731030581
Minimum0
Maximum78.98107173
Zeros127524
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.757609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19.75525126
Maximum78.98107173
Range78.98107173
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.367734747
Coefficient of variation (CV)2.697785517
Kurtosis10.14067161
Mean2.731030581
Median Absolute Deviation (MAD)0
Skewness3.064637209
Sum409654.5871
Variance54.2835153
MonotonicityNot monotonic
2024-06-11T19:35:20.833017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127524
85.0%
8.687248223 5387
 
3.6%
12.79226812 3773
 
2.5%
15.65849494 2525
 
1.7%
17.89928393 1920
 
1.3%
19.75525126 1383
 
0.9%
21.34785349 1092
 
0.7%
22.74766418 878
 
0.6%
23.99960696 762
 
0.5%
25.13417803 586
 
0.4%
Other values (139) 4170
 
2.8%
ValueCountFrequency (%)
0 127524
85.0%
8.687248223 5387
 
3.6%
12.79226812 3773
 
2.5%
15.65849494 2525
 
1.7%
17.89928393 1920
 
1.3%
ValueCountFrequency (%)
78.98107173 1
< 0.1%
76.55354801 1
< 0.1%
76.1555028 1
< 0.1%
75.42725558 1
< 0.1%
72.95804454 1
< 0.1%

all_roam_clc_std_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0008089806856
Minimum0
Maximum20.13965131
Zeros149991
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:20.892002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20.13965131
Range20.13965131
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1106175781
Coefficient of variation (CV)136.7369828
Kurtosis24810.07782
Mean0.0008089806856
Median Absolute Deviation (MAD)0
Skewness151.6276013
Sum121.3471028
Variance0.01223624859
MonotonicityNot monotonic
2024-06-11T19:35:20.945420image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 149991
> 99.9%
10.15469148 6
 
< 0.1%
20.13965131 3
 
< 0.1%
ValueCountFrequency (%)
0 149991
> 99.9%
10.15469148 6
 
< 0.1%
20.13965131 3
 
< 0.1%
ValueCountFrequency (%)
20.13965131 3
 
< 0.1%
10.15469148 6
 
< 0.1%
0 149991
> 99.9%

data_3g_tv_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct32118
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.755626295
Minimum0
Maximum82.53661688
Zeros40297
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.012630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.264417933
Q36.756615182
95-th percentile15.77938356
Maximum82.53661688
Range82.53661688
Interquartile range (IQR)6.756615182

Descriptive statistics

Standard deviation5.502558169
Coefficient of variation (CV)1.157062778
Kurtosis7.744715225
Mean4.755626295
Median Absolute Deviation (MAD)3.264417933
Skewness2.123164447
Sum713343.9442
Variance30.2781464
MonotonicityNot monotonic
2024-06-11T19:35:21.080061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40297
 
26.9%
1.064320397 2367
 
1.6%
1.207704776 1820
 
1.2%
1.589289213 770
 
0.5%
1.23367744 761
 
0.5%
1.10808554 656
 
0.4%
1.38913981 558
 
0.4%
1.331510769 467
 
0.3%
1.652681368 459
 
0.3%
2.010130606 425
 
0.3%
Other values (32108) 101420
67.6%
ValueCountFrequency (%)
0 40297
26.9%
1.064320397 2367
 
1.6%
1.069446038 9
 
< 0.1%
1.075498494 16
 
< 0.1%
1.082760975 19
 
< 0.1%
ValueCountFrequency (%)
82.53661688 1
< 0.1%
75.88951735 1
< 0.1%
73.68975156 1
< 0.1%
67.57167949 1
< 0.1%
67.38126029 1
< 0.1%

voice_mts_out_drest_partmin_mnt1
Real number (ℝ)

ZEROS 

Distinct9459
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3884152678
Minimum0
Maximum1.480453014
Zeros92252
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.145691image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.002053467
95-th percentile1.019533401
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.002053467

Descriptive statistics

Standard deviation0.4909962681
Coefficient of variation (CV)1.26410136
Kurtosis-1.774335233
Mean0.3884152678
Median Absolute Deviation (MAD)0
Skewness0.4736385446
Sum58262.29016
Variance0.2410773353
MonotonicityNot monotonic
2024-06-11T19:35:21.300994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92252
61.5%
1.004165221 390
 
0.3%
1.006406835 381
 
0.3%
1.003675345 379
 
0.3%
1.00757098 374
 
0.2%
1.00908403 368
 
0.2%
1.005491992 368
 
0.2%
1.011100838 367
 
0.2%
1.003267084 350
 
0.2%
1.013872843 348
 
0.2%
Other values (9449) 54423
36.3%
ValueCountFrequency (%)
0 92252
61.5%
1.000000669 1
 
< 0.1%
1.000002128 1
 
< 0.1%
1.000002327 2
 
< 0.1%
1.000002792 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.345493163 1
< 0.1%
1.27789982 1
< 0.1%
1.260942818 1
< 0.1%
1.232636551 1
< 0.1%

voice_mts_out_dwork_partmea_mnt3
Real number (ℝ)

ZEROS 

Distinct120316
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9892672033
Minimum0
Maximum1.480453014
Zeros18920
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.370520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.016834503
median1.107660265
Q31.192787791
95-th percentile1.280415471
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1759532877

Descriptive statistics

Standard deviation0.3857717761
Coefficient of variation (CV)0.3899571065
Kurtosis2.524954287
Mean0.9892672033
Median Absolute Deviation (MAD)0.08828353151
Skewness-2.022721161
Sum148390.0805
Variance0.1488198632
MonotonicityNot monotonic
2024-06-11T19:35:21.443951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18920
 
12.6%
1.006406835 2454
 
1.6%
1.023762432 797
 
0.5%
1.049793044 353
 
0.2%
1.001666435 247
 
0.2%
1.082760975 151
 
0.1%
1.013872843 151
 
0.1%
1.000750704 148
 
0.1%
1.002923264 124
 
0.1%
1.000425155 99
 
0.1%
Other values (120306) 126556
84.4%
ValueCountFrequency (%)
0 18920
12.6%
1.000000027 1
 
< 0.1%
1.000000033 1
 
< 0.1%
1.00000004 1
 
< 0.1%
1.000000041 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.476604576 1
< 0.1%
1.476538566 1
< 0.1%
1.474041615 1
< 0.1%
1.473360143 1
< 0.1%

voice_out_fix_tar_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1102016061
Minimum0
Maximum72.63935293
Zeros149382
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.510621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum72.63935293
Range72.63935293
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.83516111
Coefficient of variation (CV)16.65276192
Kurtosis421.0653805
Mean0.1102016061
Median Absolute Deviation (MAD)0
Skewness19.2040829
Sum16530.24091
Variance3.367816299
MonotonicityNot monotonic
2024-06-11T19:35:21.576586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 149382
99.6%
17.89928393 240
 
0.2%
23.99960696 125
 
0.1%
28.02437138 68
 
< 0.1%
31.0829974 45
 
< 0.1%
35.67888361 27
 
< 0.1%
33.57110757 22
 
< 0.1%
37.51341156 11
 
< 0.1%
40.60712622 10
 
< 0.1%
43.16883893 8
 
< 0.1%
Other values (24) 62
 
< 0.1%
ValueCountFrequency (%)
0 149382
99.6%
17.89928393 240
 
0.2%
23.99960696 125
 
0.1%
28.02437138 68
 
< 0.1%
31.0829974 45
 
< 0.1%
ValueCountFrequency (%)
72.63935293 1
< 0.1%
71.76266719 1
< 0.1%
66.34519043 1
< 0.1%
62.34666093 1
< 0.1%
61.58506093 2
< 0.1%

pay_p2p_in_sum_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07517433307
Minimum0
Maximum46.11264535
Zeros148896
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.646016image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46.11264535
Range46.11264535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9970872161
Coefficient of variation (CV)13.26366561
Kurtosis308.841667
Mean0.07517433307
Median Absolute Deviation (MAD)0
Skewness15.90526741
Sum11276.14996
Variance0.9941829165
MonotonicityNot monotonic
2024-06-11T19:35:21.716011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148896
99.3%
11.61519305 120
 
0.1%
2.569415055 69
 
< 0.1%
4.210401996 65
 
< 0.1%
12.79226812 63
 
< 0.1%
13.33095137 60
 
< 0.1%
7.773993599 58
 
< 0.1%
14.32730559 58
 
< 0.1%
13.0653276 38
 
< 0.1%
1.657607816 38
 
< 0.1%
Other values (137) 535
 
0.4%
ValueCountFrequency (%)
0 148896
99.3%
1.049793044 3
 
< 0.1%
1.139342594 1
 
< 0.1%
1.164401954 5
 
< 0.1%
1.31316983 5
 
< 0.1%
ValueCountFrequency (%)
46.11264535 1
< 0.1%
42.72025282 1
< 0.1%
38.35003304 1
< 0.1%
37.6562358 1
< 0.1%
36.16002741 1
< 0.1%

non_accum_internet_vol_std_mnt1
Real number (ℝ)

ZEROS 

Distinct115271
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.1053206
Minimum0
Maximum334.9438963
Zeros31393
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.783278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.610849335
median152.8654308
Q3193.7043455
95-th percentile235.012255
Maximum334.9438963
Range334.9438963
Interquartile range (IQR)186.0934961

Descriptive statistics

Standard deviation87.40820783
Coefficient of variation (CV)0.7158427445
Kurtosis-1.41964717
Mean122.1053206
Median Absolute Deviation (MAD)57.85673998
Skewness-0.3302882874
Sum18315798.09
Variance7640.194796
MonotonicityNot monotonic
2024-06-11T19:35:21.856149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31393
 
20.9%
1.164401954 942
 
0.6%
1.480453014 223
 
0.1%
1.839588705 164
 
0.1%
2.921812056 102
 
0.1%
1.207704776 97
 
0.1%
2.206948961 96
 
0.1%
2.569415055 80
 
0.1%
3.262248815 61
 
< 0.1%
1.45108808 58
 
< 0.1%
Other values (115261) 116784
77.9%
ValueCountFrequency (%)
0 31393
20.9%
1 5
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
334.9438963 1
< 0.1%
333.645453 1
< 0.1%
328.9380069 1
< 0.1%
325.9339766 1
< 0.1%
325.2299425 1
< 0.1%

voice_out_tar_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1444
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.64235858
Minimum0
Maximum160.2720368
Zeros11675
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:21.927283image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q161.19173819
median79.59124657
Q392.44092859
95-th percentile108.0455214
Maximum160.2720368
Range160.2720368
Interquartile range (IQR)31.2491904

Descriptive statistics

Standard deviation29.34788327
Coefficient of variation (CV)0.404005099
Kurtosis0.7051168406
Mean72.64235858
Median Absolute Deviation (MAD)14.80698544
Skewness-1.096121211
Sum10896353.79
Variance861.2982526
MonotonicityNot monotonic
2024-06-11T19:35:22.000884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11675
 
7.8%
17.89928393 2027
 
1.4%
23.99960696 1280
 
0.9%
28.02437138 1038
 
0.7%
31.0829974 908
 
0.6%
33.57110757 878
 
0.6%
35.67888361 740
 
0.5%
37.51341156 704
 
0.5%
41.94201714 699
 
0.5%
39.14133654 667
 
0.4%
Other values (1434) 129384
86.3%
ValueCountFrequency (%)
0 11675
7.8%
17.89928393 2027
 
1.4%
23.99960696 1280
 
0.9%
28.02437138 1038
 
0.7%
31.0829974 908
 
0.6%
ValueCountFrequency (%)
160.2720368 1
< 0.1%
157.125217 1
< 0.1%
157.0971239 1
< 0.1%
153.3143249 1
< 0.1%
151.5227274 1
< 0.1%

pay_p2p_in_sum_min_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:22.059528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:22.107389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

sms_out_cnt_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05273396564
Minimum0
Maximum65.21366894
Zeros147913
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:22.166172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65.21366894
Range65.21366894
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6688711431
Coefficient of variation (CV)12.68387717
Kurtosis1169.396221
Mean0.05273396564
Median Absolute Deviation (MAD)0
Skewness26.08541584
Sum7910.094847
Variance0.4473886061
MonotonicityNot monotonic
2024-06-11T19:35:22.237802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147913
98.6%
1.480453014 878
 
0.6%
2.206948961 363
 
0.2%
2.921812056 190
 
0.1%
3.590290394 101
 
0.1%
4.210401996 73
 
< 0.1%
4.786566308 65
 
< 0.1%
5.827795843 45
 
< 0.1%
5.324077125 41
 
< 0.1%
6.749901739 32
 
< 0.1%
Other values (75) 299
 
0.2%
ValueCountFrequency (%)
0 147913
98.6%
1.480453014 878
 
0.6%
2.206948961 363
 
0.2%
2.921812056 190
 
0.1%
3.590290394 101
 
0.1%
ValueCountFrequency (%)
65.21366894 1
< 0.1%
33.57110757 1
< 0.1%
31.66207078 1
< 0.1%
31.2638419 1
< 0.1%
27.67501416 1
< 0.1%

voice_in_life_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct37280
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5148254671
Minimum0
Maximum1.480453014
Zeros74955
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:22.307668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000003138
Q31.00375739
95-th percentile1.087299101
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.00375739

Descriptive statistics

Standard deviation0.5163531706
Coefficient of variation (CV)1.00296742
Kurtosis-1.958210776
Mean0.5148254671
Median Absolute Deviation (MAD)0.4804498758
Skewness0.02300495695
Sum77223.82006
Variance0.2666205968
MonotonicityNot monotonic
2024-06-11T19:35:22.380712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74955
50.0%
1.049793044 1392
 
0.9%
1.013872843 914
 
0.6%
1.006406835 866
 
0.6%
1.003675345 742
 
0.5%
1.00238048 708
 
0.5%
1.001666435 708
 
0.5%
1.001231401 668
 
0.4%
1.000946895 625
 
0.4%
1.000750704 609
 
0.4%
Other values (37270) 67813
45.2%
ValueCountFrequency (%)
0 74955
50.0%
1.000000975 1
 
< 0.1%
1.000001049 1
 
< 0.1%
1.000001389 1
 
< 0.1%
1.0000015 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 56
< 0.1%
1.474041615 1
 
< 0.1%
1.473241131 1
 
< 0.1%
1.472586347 1
 
< 0.1%
1.472212248 3
 
< 0.1%

clc_no_vas_roam_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct15675
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.334231022
Minimum0
Maximum44.45549424
Zeros74032
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:22.537870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.00000551
Q311.49152712
95-th percentile16.60934787
Maximum44.45549424
Range44.45549424
Interquartile range (IQR)11.49152712

Descriptive statistics

Standard deviation6.476966977
Coefficient of variation (CV)1.214226934
Kurtosis-0.4118648275
Mean5.334231022
Median Absolute Deviation (MAD)1.00000551
Skewness0.8034391264
Sum800134.6533
Variance41.95110122
MonotonicityNot monotonic
2024-06-11T19:35:22.606275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74032
49.4%
11.23918336 4990
 
3.3%
16.60934787 3926
 
2.6%
11.49152712 2740
 
1.8%
11.73720396 2547
 
1.7%
13.89999198 2495
 
1.7%
10.15469148 2398
 
1.6%
12.21027852 2107
 
1.4%
10.15463275 1878
 
1.3%
12.87871718 1375
 
0.9%
Other values (15665) 51512
34.3%
ValueCountFrequency (%)
0 74032
49.4%
1.000000001 531
 
0.4%
1.000000002 164
 
0.1%
1.000000006 55
 
< 0.1%
1.00000001 27
 
< 0.1%
ValueCountFrequency (%)
44.45549424 1
 
< 0.1%
39.88752083 1
 
< 0.1%
39.07572778 2
< 0.1%
38.13590692 3
< 0.1%
37.83625198 1
 
< 0.1%

goodok_clc_min_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:22.659541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:22.706135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

sms_roam_clc_td_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0005254953365
Minimum-9.623957562
Maximum1.013540835
Zeros149939
Zeros (%)> 99.9%
Negative60
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:22.758888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-9.623957562
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.013540835
Range10.6374984
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03455969438
Coefficient of variation (CV)-65.76593926
Kurtosis40742.63217
Mean-0.0005254953365
Median Absolute Deviation (MAD)0
Skewness-161.1247926
Sum-78.82430047
Variance0.001194372476
MonotonicityNot monotonic
2024-06-11T19:35:22.815844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 149939
> 99.9%
-1.139336664 31
 
< 0.1%
-1.09920593 7
 
< 0.1%
-1.415341445 4
 
< 0.1%
-1.064034118 4
 
< 0.1%
-1.034984291 2
 
< 0.1%
-1.11871396 2
 
< 0.1%
-1.360386949 2
 
< 0.1%
-1.675791942 1
 
< 0.1%
-9.623957562 1
 
< 0.1%
Other values (7) 7
 
< 0.1%
ValueCountFrequency (%)
-9.623957562 1
< 0.1%
-2.067436237 1
< 0.1%
-1.735455552 1
< 0.1%
-1.675791942 1
< 0.1%
-1.500186803 1
< 0.1%
ValueCountFrequency (%)
1.013540835 1
 
< 0.1%
0 149939
> 99.9%
-1.001625039 1
 
< 0.1%
-1.018093216 1
 
< 0.1%
-1.034984291 2
 
< 0.1%

voice_in_cmpttrs_avg_durmea_wk1
Real number (ℝ)

ZEROS 

Distinct23598
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.21231162
Minimum0
Maximum60.90441826
Zeros62030
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:22.878336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.01132535
Q322.5031901
95-th percentile37.66580225
Maximum60.90441826
Range60.90441826
Interquartile range (IQR)22.5031901

Descriptive statistics

Standard deviation13.37804311
Coefficient of variation (CV)1.012543716
Kurtosis-0.5181176341
Mean13.21231162
Median Absolute Deviation (MAD)13.01132535
Skewness0.6269065022
Sum1981846.744
Variance178.9720374
MonotonicityNot monotonic
2024-06-11T19:35:22.948849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62030
41.4%
11.86254065 363
 
0.2%
9.669720902 355
 
0.2%
9.974411855 353
 
0.2%
11.36116158 347
 
0.2%
8.687248223 342
 
0.2%
13.01132535 338
 
0.2%
10.26911687 337
 
0.2%
12.33868121 336
 
0.2%
10.55454345 334
 
0.2%
Other values (23588) 84865
56.6%
ValueCountFrequency (%)
0 62030
41.4%
1.480453014 121
 
0.1%
1.839588705 1
 
< 0.1%
2.206948961 94
 
0.1%
2.352919806 1
 
< 0.1%
ValueCountFrequency (%)
60.90441826 1
< 0.1%
58.10750195 1
< 0.1%
57.38188477 1
< 0.1%
57.18314903 1
< 0.1%
57.13310643 1
< 0.1%

voice_out_cmpttrs_td_cntmea_wk1
Real number (ℝ)

ZEROS 

Distinct182
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.869988573
Minimum0
Maximum39.67098745
Zeros69911
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:23.019239image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.480453014
Q34.210401996
95-th percentile11.61519305
Maximum39.67098745
Range39.67098745
Interquartile range (IQR)4.210401996

Descriptive statistics

Standard deviation4.015656552
Coefficient of variation (CV)1.399189039
Kurtosis3.608163534
Mean2.869988573
Median Absolute Deviation (MAD)1.480453014
Skewness1.812887479
Sum430498.2859
Variance16.12549754
MonotonicityNot monotonic
2024-06-11T19:35:23.095284image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69911
46.6%
1.480453014 15266
 
10.2%
2.206948961 10067
 
6.7%
2.921812056 7484
 
5.0%
3.590290394 5740
 
3.8%
4.210401996 4818
 
3.2%
4.786566308 3930
 
2.6%
5.324077125 3297
 
2.2%
5.827795843 2820
 
1.9%
6.30189811 2411
 
1.6%
Other values (172) 24256
 
16.2%
ValueCountFrequency (%)
0 69911
46.6%
1.480453014 15266
 
10.2%
2.206948961 10067
 
6.7%
2.921812056 7484
 
5.0%
3.590290394 5740
 
3.8%
ValueCountFrequency (%)
39.67098745 1
< 0.1%
36.41014679 1
< 0.1%
36.37912023 1
< 0.1%
35.67888361 1
< 0.1%
35.64622067 1
< 0.1%

voice_mts_out_dwork_parttd_mnt3
Real number (ℝ)

ZEROS 

Distinct122221
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03114330744
Minimum-1.013706343
Maximum1.013974694
Zeros18991
Zeros (%)12.7%
Negative67841
Negative (%)45.2%
Memory size1.1 MiB
2024-06-11T19:35:23.169436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.013706343
5-th percentile-1.001718097
Q1-1.000169089
median0
Q31.000119152
95-th percentile1.001902297
Maximum1.013974694
Range2.027681037
Interquartile range (IQR)2.000288241

Descriptive statistics

Standard deviation0.9347108165
Coefficient of variation (CV)-30.01321611
Kurtosis-1.850925983
Mean-0.03114330744
Median Absolute Deviation (MAD)1.000144002
Skewness0.06188290297
Sum-4671.496116
Variance0.8736843104
MonotonicityNot monotonic
2024-06-11T19:35:23.245361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18991
 
12.7%
-1.001424332 486
 
0.3%
-1.00095998 270
 
0.2%
1.00095998 249
 
0.2%
1.001424332 243
 
0.2%
1.000012183 234
 
0.2%
1.000108887 214
 
0.1%
-1.000012183 213
 
0.1%
-1.000584711 207
 
0.1%
-1.000300379 207
 
0.1%
Other values (122211) 128686
85.8%
ValueCountFrequency (%)
-1.013706343 1
< 0.1%
-1.012702222 1
< 0.1%
-1.012428958 1
< 0.1%
-1.012425436 1
< 0.1%
-1.012417966 1
< 0.1%
ValueCountFrequency (%)
1.013974694 1
 
< 0.1%
1.013964494 1
 
< 0.1%
1.013328544 4
< 0.1%
1.012900054 1
 
< 0.1%
1.012859569 1
 
< 0.1%

voice_out_fix_tar_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.982487136
Minimum0
Maximum89.03497981
Zeros110504
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:23.317150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.89928393
95-th percentile39.14133654
Maximum89.03497981
Range89.03497981
Interquartile range (IQR)17.89928393

Descriptive statistics

Standard deviation14.46548553
Coefficient of variation (CV)1.812152689
Kurtosis1.613149177
Mean7.982487136
Median Absolute Deviation (MAD)0
Skewness1.63037953
Sum1197373.07
Variance209.2502715
MonotonicityNot monotonic
2024-06-11T19:35:23.384955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110504
73.7%
17.89928393 9568
 
6.4%
23.99960696 6777
 
4.5%
28.02437138 4739
 
3.2%
31.0829974 3485
 
2.3%
33.57110757 2680
 
1.8%
35.67888361 2058
 
1.4%
37.51341156 1631
 
1.1%
39.14133654 1337
 
0.9%
40.60712622 1041
 
0.7%
Other values (114) 6180
 
4.1%
ValueCountFrequency (%)
0 110504
73.7%
17.89928393 9568
 
6.4%
23.99960696 6777
 
4.5%
28.02437138 4739
 
3.2%
31.0829974 3485
 
2.3%
ValueCountFrequency (%)
89.03497981 1
< 0.1%
88.65244836 1
< 0.1%
87.86577085 2
< 0.1%
87.25568734 1
< 0.1%
86.6271816 1
< 0.1%

voice_in_kievstar_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct96234
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1284527477
Minimum-1.013328544
Maximum1.014056411
Zeros27996
Zeros (%)18.7%
Negative51379
Negative (%)34.3%
Memory size1.1 MiB
2024-06-11T19:35:23.452809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.013328544
5-th percentile-1.00045591
Q1-1.000004556
median0
Q31.000044613
95-th percentile1.001297747
Maximum1.014056411
Range2.027384954
Interquartile range (IQR)2.000049169

Descriptive statistics

Standard deviation0.8930483612
Coefficient of variation (CV)6.952349225
Kurtosis-1.697728213
Mean0.1284527477
Median Absolute Deviation (MAD)1.000017587
Skewness-0.2537227061
Sum19267.91216
Variance0.7975353755
MonotonicityNot monotonic
2024-06-11T19:35:23.528353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27996
 
18.7%
1.000012183 432
 
0.3%
-1.000012183 431
 
0.3%
1.000108887 344
 
0.2%
1.001424332 326
 
0.2%
1.00095998 292
 
0.2%
-1.000108887 253
 
0.2%
1.000003051 247
 
0.2%
1.000584711 238
 
0.2%
1.000300379 237
 
0.2%
Other values (96224) 119204
79.5%
ValueCountFrequency (%)
-1.013328544 3
< 0.1%
-1.012882335 1
 
< 0.1%
-1.012617846 1
 
< 0.1%
-1.01166898 1
 
< 0.1%
-1.011536129 1
 
< 0.1%
ValueCountFrequency (%)
1.014056411 9
< 0.1%
1.013899002 1
 
< 0.1%
1.013881561 1
 
< 0.1%
1.013787543 1
 
< 0.1%
1.013763214 1
 
< 0.1%

voice_mts_in_drest_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct90041
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6803442496
Minimum0
Maximum1.480453014
Zeros53123
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:23.599226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.00338717
Q31.033069423
95-th percentile1.173968431
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.033069423

Descriptive statistics

Standard deviation0.5087310976
Coefficient of variation (CV)0.7477554163
Kurtosis-1.582199531
Mean0.6803442496
Median Absolute Deviation (MAD)0.0644267522
Skewness-0.5401342868
Sum102051.6374
Variance0.2588073296
MonotonicityNot monotonic
2024-06-11T19:35:23.670611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53123
35.4%
1.480453014 1274
 
0.8%
1.03324115 35
 
< 0.1%
1.164401954 28
 
< 0.1%
1.013872843 27
 
< 0.1%
1.049793044 26
 
< 0.1%
1.023762432 25
 
< 0.1%
1.082760975 24
 
< 0.1%
1.017830633 23
 
< 0.1%
1.00908403 22
 
< 0.1%
Other values (90031) 95393
63.6%
ValueCountFrequency (%)
0 53123
35.4%
1.000000002 1
 
< 0.1%
1.000000008 1
 
< 0.1%
1.000000009 1
 
< 0.1%
1.000000011 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1274
0.8%
1.480226577 1
 
< 0.1%
1.479699684 1
 
< 0.1%
1.47928435 1
 
< 0.1%
1.478691699 1
 
< 0.1%

data_3g_dou_mea_wk1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.741473549
Minimum0
Maximum5.324077125
Zeros74126
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:23.728863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.480453014
Q33.590290394
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)3.590290394

Descriptive statistics

Standard deviation1.984304998
Coefficient of variation (CV)1.139440217
Kurtosis-1.152867963
Mean1.741473549
Median Absolute Deviation (MAD)1.480453014
Skewness0.6204691885
Sum261221.0323
Variance3.937466325
MonotonicityNot monotonic
2024-06-11T19:35:23.781998image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 74126
49.4%
5.324077125 15313
 
10.2%
1.480453014 13297
 
8.9%
2.206948961 12545
 
8.4%
2.921812056 9899
 
6.6%
3.590290394 8958
 
6.0%
4.210401996 8136
 
5.4%
4.786566308 7726
 
5.2%
ValueCountFrequency (%)
0 74126
49.4%
1.480453014 13297
 
8.9%
2.206948961 12545
 
8.4%
2.921812056 9899
 
6.6%
3.590290394 8958
 
6.0%
ValueCountFrequency (%)
5.324077125 15313
10.2%
4.786566308 7726
5.2%
4.210401996 8136
5.4%
3.590290394 8958
6.0%
2.921812056 9899
6.6%

all_cnt_mea_mnt3
Real number (ℝ)

Distinct10084
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.06945394
Minimum0
Maximum109.7130067
Zeros308
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:23.845139image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.212325677
Q115.75514643
median21.15625909
Q326.20628002
95-th percentile33.7344646
Maximum109.7130067
Range109.7130067
Interquartile range (IQR)10.45113359

Descriptive statistics

Standard deviation7.912344652
Coefficient of variation (CV)0.3755362942
Kurtosis1.868360703
Mean21.06945394
Median Absolute Deviation (MAD)5.220082496
Skewness0.3101382951
Sum3160418.091
Variance62.60519789
MonotonicityNot monotonic
2024-06-11T19:35:23.916245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 308
 
0.2%
15.98619727 108
 
0.1%
13.57254595 107
 
0.1%
12.1035869 104
 
0.1%
12.90241407 103
 
0.1%
12.28044765 102
 
0.1%
12.9570221 101
 
0.1%
15.32009119 100
 
0.1%
15.89167867 99
 
0.1%
16.14626523 99
 
0.1%
Other values (10074) 148769
99.2%
ValueCountFrequency (%)
0 308
0.2%
1.006406835 57
 
< 0.1%
1.017830633 1
 
< 0.1%
1.023762432 36
 
< 0.1%
1.049793044 37
 
< 0.1%
ValueCountFrequency (%)
109.7130067 1
< 0.1%
106.0018656 1
< 0.1%
99.81845508 1
< 0.1%
98.26609251 1
< 0.1%
97.06571251 1
< 0.1%

voice_out_short_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct81700
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7865909246
Minimum0
Maximum1.17253086
Zeros32582
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:24.076286image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000127034
median1.000671056
Q31.002208149
95-th percentile1.018175529
Maximum1.17253086
Range1.17253086
Interquartile range (IQR)0.002081115495

Descriptive statistics

Standard deviation0.4145098168
Coefficient of variation (CV)0.5269699964
Kurtosis-0.1215050481
Mean0.7865909246
Median Absolute Deviation (MAD)0.001181069069
Skewness-1.368756321
Sum117988.6387
Variance0.1718183882
MonotonicityNot monotonic
2024-06-11T19:35:24.147172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32582
 
21.7%
1.064320397 1341
 
0.9%
1.01817803 1214
 
0.8%
1.008440556 1141
 
0.8%
1.00485579 1124
 
0.7%
1.003150561 1022
 
0.7%
1.002208149 939
 
0.6%
1.001633101 823
 
0.5%
1.001256603 798
 
0.5%
1.00099675 721
 
0.5%
Other values (81690) 108295
72.2%
ValueCountFrequency (%)
0 32582
21.7%
1.000004772 1
 
< 0.1%
1.000004997 1
 
< 0.1%
1.000005321 1
 
< 0.1%
1.00000587 1
 
< 0.1%
ValueCountFrequency (%)
1.17253086 3
< 0.1%
1.167012155 1
 
< 0.1%
1.165311307 2
< 0.1%
1.16394669 1
 
< 0.1%
1.163377058 2
< 0.1%

voice_out_tar_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1034
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.90274054
Minimum0
Maximum145.1538224
Zeros32341
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:24.215142image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128.02437138
median61.58506093
Q378.82556431
95-th percentile97.45688472
Maximum145.1538224
Range145.1538224
Interquartile range (IQR)50.80119293

Descriptive statistics

Standard deviation33.46850584
Coefficient of variation (CV)0.632642194
Kurtosis-1.038226952
Mean52.90274054
Median Absolute Deviation (MAD)21.32266976
Skewness-0.4368416276
Sum7935411.081
Variance1120.140883
MonotonicityNot monotonic
2024-06-11T19:35:24.285884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32341
 
21.6%
17.89928393 2720
 
1.8%
23.99960696 2145
 
1.4%
28.02437138 1747
 
1.2%
31.0829974 1617
 
1.1%
33.57110757 1493
 
1.0%
35.67888361 1423
 
0.9%
37.51341156 1334
 
0.9%
39.14133654 1281
 
0.9%
40.60712622 1198
 
0.8%
Other values (1024) 102701
68.5%
ValueCountFrequency (%)
0 32341
21.6%
17.89928393 2720
 
1.8%
23.99960696 2145
 
1.4%
28.02437138 1747
 
1.2%
31.0829974 1617
 
1.1%
ValueCountFrequency (%)
145.1538224 1
< 0.1%
143.2192531 1
< 0.1%
142.5184272 1
< 0.1%
139.4320083 1
< 0.1%
138.9225958 1
< 0.1%

voice_mts_out_nrest_parttd_mnt3
Real number (ℝ)

ZEROS 

Distinct90175
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1279321598
Minimum-1.006083455
Maximum1.007756989
Zeros45294
Zeros (%)30.2%
Negative42759
Negative (%)28.5%
Memory size1.1 MiB
2024-06-11T19:35:24.357660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.006083455
5-th percentile-1.000070137
Q1-1.000000194
median0
Q31.000005652
95-th percentile1.000143103
Maximum1.007756989
Range2.013840444
Interquartile range (IQR)2.000005847

Descriptive statistics

Standard deviation0.8256946702
Coefficient of variation (CV)6.454160325
Kurtosis-1.492927187
Mean0.1279321598
Median Absolute Deviation (MAD)1.000001946
Skewness-0.2412353195
Sum19189.82397
Variance0.6817716884
MonotonicityNot monotonic
2024-06-11T19:35:24.433871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45294
30.2%
1.000012183 226
 
0.2%
-1.000012183 169
 
0.1%
1.000108887 137
 
0.1%
1.000003051 125
 
0.1%
-1.000003051 123
 
0.1%
1.00095998 104
 
0.1%
1.000001357 102
 
0.1%
1.000584711 94
 
0.1%
-1.000108887 94
 
0.1%
Other values (90165) 103532
69.0%
ValueCountFrequency (%)
-1.006083455 1
< 0.1%
-1.004721592 1
< 0.1%
-1.004591535 1
< 0.1%
-1.004580909 1
< 0.1%
-1.004568853 1
< 0.1%
ValueCountFrequency (%)
1.007756989 1
< 0.1%
1.006533548 1
< 0.1%
1.005335932 1
< 0.1%
1.005020564 1
< 0.1%
1.004850723 1
< 0.1%

voice_mts_in_dwork_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct127975
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.020606668
Minimum0
Maximum1.480453014
Zeros16814
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:24.507038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.040647413
median1.125336108
Q31.206358473
95-th percentile1.316430483
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1657110602

Descriptive statistics

Standard deviation0.3745280656
Coefficient of variation (CV)0.3669661167
Kurtosis3.26104366
Mean1.020606668
Median Absolute Deviation (MAD)0.08275943872
Skewness-2.159775751
Sum153091.0002
Variance0.1402712719
MonotonicityNot monotonic
2024-06-11T19:35:24.580441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16814
 
11.2%
1.049793044 3160
 
2.1%
1.164401954 1060
 
0.7%
1.31316983 351
 
0.2%
1.480453014 119
 
0.1%
1.013872843 17
 
< 0.1%
1.006406835 9
 
< 0.1%
1.101412779 9
 
< 0.1%
1.082760975 9
 
< 0.1%
1.003675345 7
 
< 0.1%
Other values (127965) 128445
85.6%
ValueCountFrequency (%)
0 16814
11.2%
1 1
 
< 0.1%
1.000000003 1
 
< 0.1%
1.00000001 1
 
< 0.1%
1.000000025 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 119
0.1%
1.480294136 1
 
< 0.1%
1.480264639 1
 
< 0.1%
1.480014344 1
 
< 0.1%
1.479937629 1
 
< 0.1%

voice_in_kievstar_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct3489
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9383940065
Minimum0
Maximum1.480453014
Zeros27831
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:24.652211image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.002923264
median1.040268728
Q31.174502698
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1715794335

Descriptive statistics

Standard deviation0.473042852
Coefficient of variation (CV)0.5040983304
Kurtosis0.1351426797
Mean0.9383940065
Median Absolute Deviation (MAD)0.09269587227
Skewness-1.195588143
Sum140759.101
Variance0.2237695398
MonotonicityNot monotonic
2024-06-11T19:35:24.723876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27831
 
18.6%
1.480453014 18497
 
12.3%
1.164401954 6148
 
4.1%
1.082760975 4177
 
2.8%
1.049793044 3214
 
2.1%
1.03324115 2613
 
1.7%
1.260942818 2566
 
1.7%
1.023762432 2081
 
1.4%
1.017830633 1930
 
1.3%
1.113213566 1690
 
1.1%
Other values (3479) 79253
52.8%
ValueCountFrequency (%)
0 27831
18.6%
1.000018986 1
 
< 0.1%
1.000019321 1
 
< 0.1%
1.000021335 1
 
< 0.1%
1.000029061 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 18497
12.3%
1.474100374 1
 
< 0.1%
1.473529281 1
 
< 0.1%
1.469968631 1
 
< 0.1%
1.468922184 1
 
< 0.1%

clc_no_vas_roam_max_mnt3
Real number (ℝ)

ZEROS 

Distinct13837
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.50182147
Minimum0
Maximum61.53923464
Zeros37927
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:24.793671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.72886819
Q323.81145747
95-th percentile29.33036835
Maximum61.53923464
Range61.53923464
Interquartile range (IQR)23.81145747

Descriptive statistics

Standard deviation11.32943731
Coefficient of variation (CV)0.7308455551
Kurtosis-1.071366596
Mean15.50182147
Median Absolute Deviation (MAD)5.892204965
Skewness-0.2063443265
Sum2325273.22
Variance128.3561499
MonotonicityNot monotonic
2024-06-11T19:35:24.862554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37927
25.3%
21.74906374 10068
 
6.7%
22.11876484 6485
 
4.3%
29.33036315 6434
 
4.3%
20.13969538 4432
 
3.0%
22.47711246 4187
 
2.8%
23.16295481 3797
 
2.5%
25.57253549 3571
 
2.4%
20.13960725 2467
 
1.6%
15.3436809 2404
 
1.6%
Other values (13827) 68228
45.5%
ValueCountFrequency (%)
0 37927
25.3%
1.00000001 487
 
0.3%
1.00000004 94
 
0.1%
1.00000009 13
 
< 0.1%
1.00000016 9
 
< 0.1%
ValueCountFrequency (%)
61.53923464 1
 
< 0.1%
61.53413636 1
 
< 0.1%
58.51109053 1
 
< 0.1%
58.08223852 2
< 0.1%
56.92832563 3
< 0.1%

data_3g_tar_vol_min_mnt3
Real number (ℝ)

ZEROS 

Distinct27653
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.25759177
Minimum0
Maximum330.1953673
Zeros119881
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:24.930469image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150.6340739
Maximum330.1953673
Range330.1953673
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.63997428
Coefficient of variation (CV)2.45043808
Kurtosis5.641375496
Mean20.25759177
Median Absolute Deviation (MAD)0
Skewness2.553213908
Sum3038638.765
Variance2464.127047
MonotonicityNot monotonic
2024-06-11T19:35:25.000694image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119881
79.9%
22.29933738 227
 
0.2%
1.480453014 135
 
0.1%
2.206948961 83
 
0.1%
2.921812056 65
 
< 0.1%
3.590290394 65
 
< 0.1%
29.12504295 64
 
< 0.1%
33.57110757 41
 
< 0.1%
5.827795843 39
 
< 0.1%
4.210401996 37
 
< 0.1%
Other values (27643) 29363
 
19.6%
ValueCountFrequency (%)
0 119881
79.9%
1.000727736 1
 
< 0.1%
1.001468335 2
 
< 0.1%
1.001769987 1
 
< 0.1%
1.002453611 8
 
< 0.1%
ValueCountFrequency (%)
330.1953673 1
< 0.1%
321.6921976 1
< 0.1%
302.7103601 1
< 0.1%
297.3428742 1
< 0.1%
291.0408967 1
< 0.1%

data_3g_dou_max_mnt1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.426387878
Minimum0
Maximum5.324077125
Zeros52766
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.058416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q34.786566308
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)4.786566308

Descriptive statistics

Standard deviation2.096674891
Coefficient of variation (CV)0.8641136523
Kurtosis-1.56358469
Mean2.426387878
Median Absolute Deviation (MAD)2.206948961
Skewness0.07541012312
Sum363958.1817
Variance4.3960456
MonotonicityNot monotonic
2024-06-11T19:35:25.110269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 52766
35.2%
5.324077125 25863
17.2%
2.206948961 13384
 
8.9%
1.480453014 11872
 
7.9%
4.786566308 11726
 
7.8%
3.590290394 11633
 
7.8%
4.210401996 11459
 
7.6%
2.921812056 11297
 
7.5%
ValueCountFrequency (%)
0 52766
35.2%
1.480453014 11872
 
7.9%
2.206948961 13384
 
8.9%
2.921812056 11297
 
7.5%
3.590290394 11633
 
7.8%
ValueCountFrequency (%)
5.324077125 25863
17.2%
4.786566308 11726
7.8%
4.210401996 11459
7.6%
3.590290394 11633
7.8%
2.921812056 11297
7.5%

gprs_clc_mea_wk1
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07220641676
Minimum0
Maximum28.09029507
Zeros148328
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.168738image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28.09029507
Range28.09029507
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7585522192
Coefficient of variation (CV)10.50532976
Kurtosis223.2677408
Mean0.07220641676
Median Absolute Deviation (MAD)0
Skewness13.36119866
Sum10830.96251
Variance0.5754014692
MonotonicityNot monotonic
2024-06-11T19:35:25.236229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148328
98.9%
4.497536115 930
 
0.6%
7.165976416 253
 
0.2%
9.181785673 128
 
0.1%
10.81975628 56
 
< 0.1%
5.750474527 34
 
< 0.1%
13.42201696 29
 
< 0.1%
3.539668309 26
 
< 0.1%
12.20938997 26
 
< 0.1%
4.497939569 18
 
< 0.1%
Other values (76) 172
 
0.1%
ValueCountFrequency (%)
0 148328
98.9%
1.333779266 3
 
< 0.1%
1.888828202 1
 
< 0.1%
3.015424864 1
 
< 0.1%
3.537595712 1
 
< 0.1%
ValueCountFrequency (%)
28.09029507 1
< 0.1%
27.44702538 1
< 0.1%
24.06026241 1
< 0.1%
23.16168011 1
< 0.1%
20.97160151 1
< 0.1%

gprs_tar_vol_min_mnt1
Real number (ℝ)

ZEROS 

Distinct11966
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.05966307
Minimum0
Maximum283.9321527
Zeros116914
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.303436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile63.13683642
Maximum283.9321527
Range283.9321527
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.26444603
Coefficient of variation (CV)2.710274273
Kurtosis16.81364217
Mean10.05966307
Median Absolute Deviation (MAD)0
Skewness3.780873845
Sum1508949.461
Variance743.3500172
MonotonicityNot monotonic
2024-06-11T19:35:25.459376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116914
77.9%
1.480453014 779
 
0.5%
2.206948961 619
 
0.4%
2.921812056 429
 
0.3%
22.29933738 423
 
0.3%
3.590290394 359
 
0.2%
4.210401996 336
 
0.2%
4.786566308 314
 
0.2%
5.324077125 261
 
0.2%
5.827795843 219
 
0.1%
Other values (11956) 29347
 
19.6%
ValueCountFrequency (%)
0 116914
77.9%
1.001468335 3
 
< 0.1%
1.001769987 1
 
< 0.1%
1.002453611 6
 
< 0.1%
1.002834978 1
 
< 0.1%
ValueCountFrequency (%)
283.9321527 1
< 0.1%
265.0688776 1
< 0.1%
260.9969456 1
< 0.1%
259.6823268 1
< 0.1%
258.3747493 1
< 0.1%

clc_no_vas_roam_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct36437
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.226361551
Minimum0
Maximum38.86408023
Zeros37927
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.528614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.066734755
Q310.15463275
95-th percentile15.2874366
Maximum38.86408023
Range38.86408023
Interquartile range (IQR)10.15463275

Descriptive statistics

Standard deviation5.308105112
Coefficient of variation (CV)0.8525211824
Kurtosis-0.5836038205
Mean6.226361551
Median Absolute Deviation (MAD)4.918412459
Skewness0.4434545054
Sum933954.2326
Variance28.17597988
MonotonicityNot monotonic
2024-06-11T19:35:25.603841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37927
 
25.3%
5.750836037 3601
 
2.4%
5.910345837 2843
 
1.9%
8.921894497 1743
 
1.2%
5.079127105 1464
 
1.0%
9.352150454 1406
 
0.9%
6.370802341 1242
 
0.8%
3.325380361 1077
 
0.7%
11.23918336 1070
 
0.7%
13.63784482 1024
 
0.7%
Other values (36427) 96603
64.4%
ValueCountFrequency (%)
0 37927
25.3%
1 322
 
0.2%
1 130
 
0.1%
1.000000001 60
 
< 0.1%
1.000000001 26
 
< 0.1%
ValueCountFrequency (%)
38.86408023 1
< 0.1%
38.28917234 1
< 0.1%
34.85817654 1
< 0.1%
33.05248557 1
< 0.1%
31.74473875 1
< 0.1%

data_3g_dou_max_mnt3
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.945269702
Minimum0
Maximum5.324077125
Zeros40175
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.664169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.590290394
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)5.324077125

Descriptive statistics

Standard deviation2.107333541
Coefficient of variation (CV)0.7154976467
Kurtosis-1.481733434
Mean2.945269702
Median Absolute Deviation (MAD)1.733786731
Skewness-0.3059864318
Sum441790.4553
Variance4.440854652
MonotonicityNot monotonic
2024-06-11T19:35:25.715510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 40175
26.8%
5.324077125 37972
25.3%
4.786566308 14700
 
9.8%
4.210401996 12850
 
8.6%
3.590290394 12175
 
8.1%
2.206948961 11776
 
7.9%
2.921812056 10634
 
7.1%
1.480453014 9718
 
6.5%
ValueCountFrequency (%)
0 40175
26.8%
1.480453014 9718
 
6.5%
2.206948961 11776
 
7.9%
2.921812056 10634
 
7.1%
3.590290394 12175
 
8.1%
ValueCountFrequency (%)
5.324077125 37972
25.3%
4.786566308 14700
 
9.8%
4.210401996 12850
 
8.6%
3.590290394 12175
 
8.1%
2.921812056 10634
 
7.1%

voice_mts_in_nrest_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct103238
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8079396188
Minimum0
Maximum1.480453014
Zeros36476
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.775564image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000024481
median1.012718886
Q31.054042676
95-th percentile1.257720473
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.05401819509

Descriptive statistics

Standard deviation0.4665380894
Coefficient of variation (CV)0.5774417772
Kurtosis-0.6128383211
Mean0.8079396188
Median Absolute Deviation (MAD)0.03934430016
Skewness-1.052127936
Sum121190.9428
Variance0.2176577888
MonotonicityNot monotonic
2024-06-11T19:35:25.846744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36476
 
24.3%
1.480453014 2314
 
1.5%
1.164401954 54
 
< 0.1%
1.082760975 42
 
< 0.1%
1.03324115 39
 
< 0.1%
1.049793044 39
 
< 0.1%
1.013872843 30
 
< 0.1%
1.023762432 30
 
< 0.1%
1.00757098 29
 
< 0.1%
1.220903412 28
 
< 0.1%
Other values (103228) 110919
73.9%
ValueCountFrequency (%)
0 36476
24.3%
1.000000002 1
 
< 0.1%
1.000000011 1
 
< 0.1%
1.000000014 1
 
< 0.1%
1.000000014 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2314
1.5%
1.480230002 1
 
< 0.1%
1.480227241 1
 
< 0.1%
1.480071558 1
 
< 0.1%
1.480060098 1
 
< 0.1%

voice_in_kievstar_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct62268
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7125027024
Minimum0
Maximum1.207704776
Zeros45571
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:25.918354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.001873347
Q31.012498354
95-th percentile1.101412779
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.012498354

Descriptive statistics

Standard deviation0.4719495569
Coefficient of variation (CV)0.6623828308
Kurtosis-1.272950474
Mean0.7125027024
Median Absolute Deviation (MAD)0.01680301487
Skewness-0.8344253871
Sum106875.4054
Variance0.2227363843
MonotonicityNot monotonic
2024-06-11T19:35:25.993399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45571
30.4%
1.164401954 2907
 
1.9%
1.049793044 1447
 
1.0%
1.023762432 1035
 
0.7%
1.013872843 914
 
0.6%
1.006406835 812
 
0.5%
1.00908403 812
 
0.5%
1.207704776 764
 
0.5%
1.004760016 673
 
0.4%
1.002923264 604
 
0.4%
Other values (62258) 94461
63.0%
ValueCountFrequency (%)
0 45571
30.4%
1.000000431 1
 
< 0.1%
1.000000487 1
 
< 0.1%
1.000000785 1
 
< 0.1%
1.00000087 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 764
0.5%
1.203022256 1
 
< 0.1%
1.202430347 1
 
< 0.1%
1.199210638 1
 
< 0.1%
1.198249473 1
 
< 0.1%

voice_in_mts_avg_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct53434
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.83820384
Minimum0
Maximum56.23301746
Zeros40085
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.061727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.09508758
Q324.17540047
95-th percentile34.56357136
Maximum56.23301746
Range56.23301746
Interquartile range (IQR)24.17540047

Descriptive statistics

Standard deviation11.70625606
Coefficient of variation (CV)0.7391151278
Kurtosis-0.906146387
Mean15.83820384
Median Absolute Deviation (MAD)8.370513346
Skewness0.03164202378
Sum2375730.577
Variance137.0364309
MonotonicityNot monotonic
2024-06-11T19:35:26.127272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40085
 
26.7%
9.027097853 264
 
0.2%
9.669720902 255
 
0.2%
8.687248223 253
 
0.2%
10.26911687 253
 
0.2%
10.83132398 249
 
0.2%
11.10002615 241
 
0.2%
9.974411855 240
 
0.2%
12.1035869 238
 
0.2%
11.61519305 237
 
0.2%
Other values (53424) 107685
71.8%
ValueCountFrequency (%)
0 40085
26.7%
1.480453014 64
 
< 0.1%
1.839588705 3
 
< 0.1%
2.206948961 49
 
< 0.1%
2.569415055 2
 
< 0.1%
ValueCountFrequency (%)
56.23301746 1
< 0.1%
55.23081138 1
< 0.1%
53.45174414 1
< 0.1%
53.24235417 1
< 0.1%
52.60799845 1
< 0.1%

data_3g_tv_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct9804
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.728803335
Minimum0
Maximum72.33323264
Zeros53053
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.193422image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.26668353
Q35.370068683
95-th percentile13.24877197
Maximum72.33323264
Range72.33323264
Interquartile range (IQR)5.370068683

Descriptive statistics

Standard deviation4.784079057
Coefficient of variation (CV)1.283006538
Kurtosis8.887535596
Mean3.728803335
Median Absolute Deviation (MAD)2.26668353
Skewness2.319293874
Sum559320.5002
Variance22.88741242
MonotonicityNot monotonic
2024-06-11T19:35:26.266665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53053
35.4%
1.164401954 3901
 
2.6%
1.480453014 3676
 
2.5%
1.839588705 2064
 
1.4%
2.206948961 1881
 
1.3%
1.45108808 1656
 
1.1%
2.921812056 1535
 
1.0%
2.144514419 1326
 
0.9%
2.569415055 948
 
0.6%
1.207704776 892
 
0.6%
Other values (9794) 79068
52.7%
ValueCountFrequency (%)
0 53053
35.4%
1.164401954 3901
 
2.6%
1.207704776 892
 
0.6%
1.356301179 445
 
0.3%
1.45108808 1656
 
1.1%
ValueCountFrequency (%)
72.33323264 1
< 0.1%
72.18630277 1
< 0.1%
61.89251957 1
< 0.1%
61.67812503 1
< 0.1%
60.98412925 1
< 0.1%

all_home_clc_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct237
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02618455762
Minimum0
Maximum48.06207698
Zeros148972
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.338828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.06207698
Range48.06207698
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.416948245
Coefficient of variation (CV)15.92344049
Kurtosis1761.456648
Mean0.02618455762
Median Absolute Deviation (MAD)0
Skewness30.21274837
Sum3927.683644
Variance0.173845839
MonotonicityNot monotonic
2024-06-11T19:35:26.411245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148972
99.3%
2.463172916 149
 
0.1%
1.604773951 140
 
0.1%
1.604273725 91
 
0.1%
4.0319091 53
 
< 0.1%
2.46360592 43
 
< 0.1%
5.353447327 31
 
< 0.1%
1.335206418 27
 
< 0.1%
2.462595556 23
 
< 0.1%
7.484120594 20
 
< 0.1%
Other values (227) 451
 
0.3%
ValueCountFrequency (%)
0 148972
99.3%
1.00000001 12
 
< 0.1%
1.00000009 1
 
< 0.1%
1.00000049 1
 
< 0.1%
1.021216128 11
 
< 0.1%
ValueCountFrequency (%)
48.06207698 1
< 0.1%
25.55063453 1
< 0.1%
21.13151434 1
< 0.1%
18.66347575 1
< 0.1%
18.47244435 1
< 0.1%

all_clc_mea_wk1
Real number (ℝ)

ZEROS 

Distinct8651
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.75412729
Minimum0
Maximum63.96307825
Zeros110440
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.480004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.494067668
95-th percentile23.81151383
Maximum63.96307825
Range63.96307825
Interquartile range (IQR)1.494067668

Descriptive statistics

Standard deviation8.159805443
Coefficient of variation (CV)2.173555879
Kurtosis3.605425597
Mean3.75412729
Median Absolute Deviation (MAD)0
Skewness2.159440493
Sum563119.0935
Variance66.58242486
MonotonicityNot monotonic
2024-06-11T19:35:26.549166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110440
73.6%
1.604773951 2536
 
1.7%
1.604273725 1793
 
1.2%
21.74906374 1549
 
1.0%
22.11876484 1226
 
0.8%
20.13969538 954
 
0.6%
29.33036315 865
 
0.6%
4.497536115 719
 
0.5%
22.47711246 672
 
0.4%
25.57253549 624
 
0.4%
Other values (8641) 28622
 
19.1%
ValueCountFrequency (%)
0 110440
73.6%
1.00000001 407
 
0.3%
1.00000004 85
 
0.1%
1.00000009 15
 
< 0.1%
1.00000016 7
 
< 0.1%
ValueCountFrequency (%)
63.96307825 1
< 0.1%
62.77049348 1
< 0.1%
62.76573354 2
< 0.1%
61.63584202 1
< 0.1%
61.01672769 1
< 0.1%

all_clc_max_mnt1
Real number (ℝ)

ZEROS 

Distinct16648
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.11006956
Minimum0
Maximum63.96307825
Zeros57764
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.617429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.750375931
Q322.26336684
95-th percentile29.33036315
Maximum63.96307825
Range63.96307825
Interquartile range (IQR)22.26336684

Descriptive statistics

Standard deviation11.58862726
Coefficient of variation (CV)1.043074231
Kurtosis-1.181006481
Mean11.11006956
Median Absolute Deviation (MAD)5.750375931
Skewness0.4354575765
Sum1666510.433
Variance134.2962818
MonotonicityNot monotonic
2024-06-11T19:35:26.688025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57764
38.5%
21.74906374 5185
 
3.5%
22.11876484 4316
 
2.9%
1.604773951 3576
 
2.4%
20.13969538 3004
 
2.0%
29.33036315 2921
 
1.9%
22.47711246 2274
 
1.5%
25.57253549 2085
 
1.4%
1.604273725 2024
 
1.3%
20.13960725 1885
 
1.3%
Other values (16638) 64966
43.3%
ValueCountFrequency (%)
0 57764
38.5%
1.00000001 430
 
0.3%
1.00000004 61
 
< 0.1%
1.00000009 13
 
< 0.1%
1.00000016 11
 
< 0.1%
ValueCountFrequency (%)
63.96307825 1
< 0.1%
62.86542916 1
< 0.1%
62.77049348 1
< 0.1%
62.76573354 2
< 0.1%
62.38074321 1
< 0.1%

voice_in_roam_clc_mea_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002929500297
Minimum0
Maximum14.64750149
Zeros149997
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.742150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14.64750149
Range14.64750149
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06550518134
Coefficient of variation (CV)223.605307
Kurtosis49996.6666
Mean0.0002929500297
Median Absolute Deviation (MAD)0
Skewness223.6023255
Sum43.94250446
Variance0.004290928782
MonotonicityNot monotonic
2024-06-11T19:35:26.880019image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149997
> 99.9%
14.64750149 3
 
< 0.1%
ValueCountFrequency (%)
0 149997
> 99.9%
14.64750149 3
 
< 0.1%
ValueCountFrequency (%)
14.64750149 3
 
< 0.1%
0 149997
> 99.9%

conn_in_uniq_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct191
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.807394361
Minimum0
Maximum46.90558567
Zeros4419
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:26.943725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q14.210401996
median6.749901739
Q39.027097853
95-th percentile13.01132535
Maximum46.90558567
Range46.90558567
Interquartile range (IQR)4.816695857

Descriptive statistics

Standard deviation3.620205676
Coefficient of variation (CV)0.5318048998
Kurtosis1.348275686
Mean6.807394361
Median Absolute Deviation (MAD)2.539499744
Skewness0.6852712626
Sum1021109.154
Variance13.10588914
MonotonicityNot monotonic
2024-06-11T19:35:27.012721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.786566308 8859
 
5.9%
4.210401996 8638
 
5.8%
5.324077125 8471
 
5.6%
3.590290394 8300
 
5.5%
5.827795843 8217
 
5.5%
6.30189811 8102
 
5.4%
2.921812056 7505
 
5.0%
6.749901739 7501
 
5.0%
7.174761058 6843
 
4.6%
2.206948961 6687
 
4.5%
Other values (181) 70877
47.3%
ValueCountFrequency (%)
0 4419
2.9%
1.480453014 5697
3.8%
2.206948961 6687
4.5%
2.921812056 7505
5.0%
3.590290394 8300
5.5%
ValueCountFrequency (%)
46.90558567 1
< 0.1%
36.98723987 1
< 0.1%
34.66457764 1
< 0.1%
34.4169956 1
< 0.1%
34.12856843 1
< 0.1%

voice_out_cmpttrs_avg_dustd_mnt1
Real number (ℝ)

ZEROS 

Distinct52360
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.34540131
Minimum0
Maximum68.05917829
Zeros42858
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:27.079643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14.19891465
Q321.65403436
95-th percentile35.31387399
Maximum68.05917829
Range68.05917829
Interquartile range (IQR)21.65403436

Descriptive statistics

Standard deviation11.85420949
Coefficient of variation (CV)0.8263421307
Kurtosis-0.1704810111
Mean14.34540131
Median Absolute Deviation (MAD)9.388789016
Skewness0.4867450506
Sum2151810.197
Variance140.5222825
MonotonicityNot monotonic
2024-06-11T19:35:27.149141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42858
28.6%
12.79226812 9476
 
6.3%
13.76988162 3154
 
2.1%
17.89928393 2355
 
1.6%
17.54941206 1740
 
1.2%
15.65849494 1476
 
1.0%
21.34785349 1342
 
0.9%
16.30232696 875
 
0.6%
20.82595276 652
 
0.4%
23.99960696 586
 
0.4%
Other values (52350) 85486
57.0%
ValueCountFrequency (%)
0 42858
28.6%
1.058017722 1
 
< 0.1%
1.296967841 1
 
< 0.1%
1.309943585 1
 
< 0.1%
1.31316983 1
 
< 0.1%
ValueCountFrequency (%)
68.05917829 3
< 0.1%
67.79052821 1
 
< 0.1%
67.72539849 1
 
< 0.1%
67.50339632 1
 
< 0.1%
67.2117777 1
 
< 0.1%

gprs_clc_max_mnt1
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2277717161
Minimum0
Maximum31.640816
Zeros144712
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:27.218477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31.640816
Range31.640816
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3348518
Coefficient of variation (CV)5.860480938
Kurtosis68.33886073
Mean0.2277717161
Median Absolute Deviation (MAD)0
Skewness7.41719431
Sum34165.75741
Variance1.781829328
MonotonicityNot monotonic
2024-06-11T19:35:27.289572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144712
96.5%
4.497536115 2992
 
2.0%
7.165976416 809
 
0.5%
9.181785673 353
 
0.2%
10.81975628 219
 
0.1%
5.750474527 111
 
0.1%
12.20938997 99
 
0.1%
13.42201696 78
 
0.1%
3.539668309 74
 
< 0.1%
4.497939569 56
 
< 0.1%
Other values (139) 497
 
0.3%
ValueCountFrequency (%)
0 144712
96.5%
1.332223841 1
 
< 0.1%
1.333779266 11
 
< 0.1%
1.887653013 1
 
< 0.1%
1.888828202 1
 
< 0.1%
ValueCountFrequency (%)
31.640816 1
< 0.1%
28.09029507 1
< 0.1%
27.44702538 2
< 0.1%
24.48569271 1
< 0.1%
24.42625427 1
< 0.1%

all_cnt_td_mnt3
Real number (ℝ)

Distinct16925
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.06353641
Minimum-56.54528377
Maximum54.0516962
Zeros372
Zeros (%)0.2%
Negative60796
Negative (%)40.5%
Memory size1.1 MiB
2024-06-11T19:35:27.360864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-56.54528377
5-th percentile-6.724022328
Q1-1.793513238
median1.287693505
Q33.65531828
95-th percentile9.323934516
Maximum54.0516962
Range110.59698
Interquartile range (IQR)5.448831518

Descriptive statistics

Standard deviation5.036292177
Coefficient of variation (CV)4.735420553
Kurtosis3.550071973
Mean1.06353641
Median Absolute Deviation (MAD)2.834522837
Skewness0.09962104373
Sum159530.4616
Variance25.3642389
MonotonicityNot monotonic
2024-06-11T19:35:27.428699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 372
 
0.2%
1.088358468 87
 
0.1%
1.039632891 87
 
0.1%
-1.025007855 86
 
0.1%
1.060832041 85
 
0.1%
1.248867569 84
 
0.1%
1.033028932 84
 
0.1%
-1.001689348 84
 
0.1%
1.030937527 84
 
0.1%
-1.001975959 83
 
0.1%
Other values (16915) 148864
99.2%
ValueCountFrequency (%)
-56.54528377 1
< 0.1%
-48.39260815 1
< 0.1%
-48.04616027 1
< 0.1%
-46.05008546 1
< 0.1%
-43.5853091 1
< 0.1%
ValueCountFrequency (%)
54.0516962 1
< 0.1%
51.21746174 1
< 0.1%
49.39347817 1
< 0.1%
47.37210586 1
< 0.1%
45.88913109 1
< 0.1%

conn_out_uniq_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct2087
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1015500405
Minimum-13.07323287
Maximum25.14654945
Zeros11430
Zeros (%)7.6%
Negative63851
Negative (%)42.6%
Memory size1.1 MiB
2024-06-11T19:35:27.494079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-13.07323287
5-th percentile-1.274602036
Q1-1.018774973
median0
Q31.041940751
95-th percentile1.434763773
Maximum25.14654945
Range38.21978232
Interquartile range (IQR)2.060715724

Descriptive statistics

Standard deviation1.135331666
Coefficient of variation (CV)11.1800218
Kurtosis2.008714777
Mean0.1015500405
Median Absolute Deviation (MAD)1.028902821
Skewness0.1003737502
Sum15232.50607
Variance1.288977992
MonotonicityNot monotonic
2024-06-11T19:35:27.563656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11430
 
7.6%
-1.001424332 1137
 
0.8%
1.001424332 1052
 
0.7%
-1.00095998 989
 
0.7%
1.00095998 977
 
0.7%
1.000300379 932
 
0.6%
1.000108887 923
 
0.6%
-1.000300379 915
 
0.6%
-1.000012183 903
 
0.6%
1.000012183 893
 
0.6%
Other values (2077) 129849
86.6%
ValueCountFrequency (%)
-13.07323287 1
< 0.1%
-11.03963946 1
< 0.1%
-9.483557181 1
< 0.1%
-7.356666642 1
< 0.1%
-7.222411017 1
< 0.1%
ValueCountFrequency (%)
25.14654945 1
< 0.1%
19.38664962 1
< 0.1%
14.00180693 1
< 0.1%
11.73881277 1
< 0.1%
11.33681948 1
< 0.1%

all_clc_min_mnt1
Real number (ℝ)

ZEROS 

Distinct1449
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1948992344
Minimum0
Maximum52.06788685
Zeros144046
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:27.633145image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum52.06788685
Range52.06788685
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.386920908
Coefficient of variation (CV)7.116092128
Kurtosis152.1619571
Mean0.1948992344
Median Absolute Deviation (MAD)0
Skewness10.89252505
Sum29234.88516
Variance1.923549604
MonotonicityNot monotonic
2024-06-11T19:35:27.702057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144046
96.0%
1.604773951 733
 
0.5%
1.604273725 608
 
0.4%
2.463172916 303
 
0.2%
1.169725207 271
 
0.2%
2.46360592 196
 
0.1%
2.462595556 139
 
0.1%
4.0319091 132
 
0.1%
1.00000001 124
 
0.1%
3.281747174 98
 
0.1%
Other values (1439) 3350
 
2.2%
ValueCountFrequency (%)
0 144046
96.0%
1.00000001 124
 
0.1%
1.00000004 20
 
< 0.1%
1.00000009 10
 
< 0.1%
1.00000016 2
 
< 0.1%
ValueCountFrequency (%)
52.06788685 1
< 0.1%
39.89469995 1
< 0.1%
34.76950579 1
< 0.1%
34.28127254 1
< 0.1%
33.59771012 1
< 0.1%

all_roam_clc_mea_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01172770963
Minimum0
Maximum23.16302208
Zeros149643
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:27.767702image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23.16302208
Range23.16302208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2962736152
Coefficient of variation (CV)25.26270044
Kurtosis1842.733224
Mean0.01172770963
Median Absolute Deviation (MAD)0
Skewness37.36240083
Sum1759.156445
Variance0.08777805508
MonotonicityNot monotonic
2024-06-11T19:35:27.834749image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149643
99.8%
3.105805778 99
 
0.1%
2.416463558 56
 
< 0.1%
1.46689156 24
 
< 0.1%
3.539646722 21
 
< 0.1%
7.991662295 14
 
< 0.1%
5.079127105 12
 
< 0.1%
5.079091371 11
 
< 0.1%
3.952631225 10
 
< 0.1%
5.079127105 8
 
< 0.1%
Other values (70) 102
 
0.1%
ValueCountFrequency (%)
0 149643
99.8%
1.46689156 24
 
< 0.1%
2.17821011 1
 
< 0.1%
2.416463558 56
 
< 0.1%
2.880954379 1
 
< 0.1%
ValueCountFrequency (%)
23.16302208 1
< 0.1%
22.38858386 1
< 0.1%
22.11876948 1
< 0.1%
21.00590176 1
< 0.1%
19.16258002 1
< 0.1%

voice_in_tar_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct48282
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.59486165
Minimum0
Maximum147.5272784
Zeros9017
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:27.902488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143.16392608
median61.77050081
Q376.14209449
95-th percentile93.40149078
Maximum147.5272784
Range147.5272784
Interquartile range (IQR)32.97816842

Descriptive statistics

Standard deviation25.8661921
Coefficient of variation (CV)0.4491058986
Kurtosis-0.1645091446
Mean57.59486165
Median Absolute Deviation (MAD)16.00489345
Skewness-0.6031129153
Sum8639229.247
Variance669.0598936
MonotonicityNot monotonic
2024-06-11T19:35:27.972789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9017
 
6.0%
4.503643389 63
 
< 0.1%
3.262248815 59
 
< 0.1%
4.358354821 58
 
< 0.1%
4.786566308 57
 
< 0.1%
3.749720354 56
 
< 0.1%
4.059700132 56
 
< 0.1%
3.093574543 55
 
< 0.1%
3.427814651 54
 
< 0.1%
5.704793955 54
 
< 0.1%
Other values (48272) 140471
93.6%
ValueCountFrequency (%)
0 9017
6.0%
1.049793044 39
 
< 0.1%
1.164401954 24
 
< 0.1%
1.31316983 41
 
< 0.1%
1.480453014 31
 
< 0.1%
ValueCountFrequency (%)
147.5272784 1
< 0.1%
143.1730747 1
< 0.1%
141.7547348 1
< 0.1%
141.0715105 1
< 0.1%
140.8176128 1
< 0.1%

voice_mts_in_nwork_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct45490
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3169851594
Minimum0
Maximum1.480453014
Zeros102829
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:28.043128image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.00014513
95-th percentile1.01280959
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.00014513

Descriptive statistics

Standard deviation0.4681424579
Coefficient of variation (CV)1.476859228
Kurtosis-1.355134086
Mean0.3169851594
Median Absolute Deviation (MAD)0
Skewness0.801056236
Sum47547.77391
Variance0.2191573609
MonotonicityNot monotonic
2024-06-11T19:35:28.201966image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102829
68.6%
1.001975959 9
 
< 0.1%
1.004760016 8
 
< 0.1%
1.00908403 7
 
< 0.1%
1.003267084 7
 
< 0.1%
1.000185114 7
 
< 0.1%
1.000282479 7
 
< 0.1%
1.000711195 7
 
< 0.1%
1.001322606 6
 
< 0.1%
1.001811321 6
 
< 0.1%
Other values (45480) 47107
31.4%
ValueCountFrequency (%)
0 102829
68.6%
1.000000001 1
 
< 0.1%
1.000000006 1
 
< 0.1%
1.000000006 1
 
< 0.1%
1.000000007 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.393968689 1
< 0.1%
1.380940877 1
< 0.1%
1.362430224 1
< 0.1%
1.352574021 1
< 0.1%

sms_out_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct175
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.294309688
Minimum0
Maximum65.43513884
Zeros136875
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:28.271303image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum65.43513884
Range65.43513884
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.450159658
Coefficient of variation (CV)4.927325595
Kurtosis167.3808502
Mean0.294309688
Median Absolute Deviation (MAD)0
Skewness10.39973088
Sum44146.45319
Variance2.102963035
MonotonicityNot monotonic
2024-06-11T19:35:28.341581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136875
91.2%
1.480453014 5799
 
3.9%
2.206948961 2536
 
1.7%
2.921812056 1199
 
0.8%
3.590290394 769
 
0.5%
4.210401996 484
 
0.3%
4.786566308 380
 
0.3%
5.324077125 235
 
0.2%
5.827795843 207
 
0.1%
6.30189811 160
 
0.1%
Other values (165) 1356
 
0.9%
ValueCountFrequency (%)
0 136875
91.2%
1.480453014 5799
 
3.9%
2.206948961 2536
 
1.7%
2.921812056 1199
 
0.8%
3.590290394 769
 
0.5%
ValueCountFrequency (%)
65.43513884 1
< 0.1%
43.22767089 1
< 0.1%
36.59490691 1
< 0.1%
36.25433619 1
< 0.1%
35.67888361 1
< 0.1%

pay_avg_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002801436273
Minimum-53.15848325
Maximum24.76754894
Zeros149897
Zeros (%)99.9%
Negative39
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:28.410227image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-53.15848325
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24.76754894
Range77.92603219
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5062929502
Coefficient of variation (CV)-180.7262065
Kurtosis4608.89036
Mean-0.002801436273
Median Absolute Deviation (MAD)0
Skewness-53.22499018
Sum-420.2154409
Variance0.2563325514
MonotonicityNot monotonic
2024-06-11T19:35:28.482970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149897
99.9%
10.26911687 3
 
< 0.1%
6.749901739 3
 
< 0.1%
5.827795843 2
 
< 0.1%
8.687248223 2
 
< 0.1%
7.838014641 2
 
< 0.1%
-33.17567483 1
 
< 0.1%
-21.35479119 1
 
< 0.1%
-38.75664161 1
 
< 0.1%
14.32730559 1
 
< 0.1%
Other values (87) 87
 
0.1%
ValueCountFrequency (%)
-53.15848325 1
< 0.1%
-47.93003263 1
< 0.1%
-46.51407661 1
< 0.1%
-40.25399929 1
< 0.1%
-39.14133654 1
< 0.1%
ValueCountFrequency (%)
24.76754894 1
< 0.1%
22.29933738 1
< 0.1%
20.77194168 1
< 0.1%
20.03662961 1
< 0.1%
19.75525126 1
< 0.1%

all_roam_clc_mea_wk1
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004525972128
Minimum0
Maximum26.62102185
Zeros149997
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:28.541450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.62102185
Range26.62102185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1043036636
Coefficient of variation (CV)230.455824
Kurtosis59165.32249
Mean0.0004525972128
Median Absolute Deviation (MAD)0
Skewness240.1285789
Sum67.88958192
Variance0.01087925425
MonotonicityNot monotonic
2024-06-11T19:35:28.591524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 149997
> 99.9%
26.62102185 2
 
< 0.1%
14.64753823 1
 
< 0.1%
ValueCountFrequency (%)
0 149997
> 99.9%
14.64753823 1
 
< 0.1%
26.62102185 2
 
< 0.1%
ValueCountFrequency (%)
26.62102185 2
 
< 0.1%
14.64753823 1
 
< 0.1%
0 149997
> 99.9%

clc_no_vas_roam_min_mnt1
Real number (ℝ)

ZEROS 

Distinct1000
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1131757562
Minimum0
Maximum39.86597976
Zeros147299
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:28.654551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39.86597976
Range39.86597976
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.087323143
Coefficient of variation (CV)9.607385711
Kurtosis221.2384921
Mean0.1131757562
Median Absolute Deviation (MAD)0
Skewness13.34952233
Sum16976.36343
Variance1.182271617
MonotonicityNot monotonic
2024-06-11T19:35:28.730404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147299
98.2%
2.463172916 252
 
0.2%
4.0319091 124
 
0.1%
1.00000001 97
 
0.1%
1.604773951 54
 
< 0.1%
5.353447327 47
 
< 0.1%
1.335206418 41
 
< 0.1%
1.148322296 41
 
< 0.1%
6.488016529 35
 
< 0.1%
7.484120594 34
 
< 0.1%
Other values (990) 1976
 
1.3%
ValueCountFrequency (%)
0 147299
98.2%
1.00000001 97
 
0.1%
1.00000004 17
 
< 0.1%
1.00000009 8
 
< 0.1%
1.00000016 2
 
< 0.1%
ValueCountFrequency (%)
39.86597976 1
 
< 0.1%
34.76950579 1
 
< 0.1%
29.92773178 1
 
< 0.1%
29.45210776 1
 
< 0.1%
29.33036315 5
< 0.1%

conn_out_uniq_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.363300101
Minimum0
Maximum55.29242973
Zeros46017
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:28.801453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.921812056
Q35.324077125
95-th percentile9.354248899
Maximum55.29242973
Range55.29242973
Interquartile range (IQR)5.324077125

Descriptive statistics

Standard deviation3.227213753
Coefficient of variation (CV)0.9595378514
Kurtosis1.749898614
Mean3.363300101
Median Absolute Deviation (MAD)2.921812056
Skewness1.019145444
Sum504495.0152
Variance10.41490861
MonotonicityNot monotonic
2024-06-11T19:35:28.867129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46017
30.7%
1.480453014 12192
 
8.1%
2.206948961 11791
 
7.9%
2.921812056 11212
 
7.5%
3.590290394 10242
 
6.8%
4.210401996 9143
 
6.1%
4.786566308 7829
 
5.2%
5.324077125 6681
 
4.5%
5.827795843 5639
 
3.8%
6.30189811 4567
 
3.0%
Other values (105) 24687
16.5%
ValueCountFrequency (%)
0 46017
30.7%
1.480453014 12192
 
8.1%
2.206948961 11791
 
7.9%
2.921812056 11212
 
7.5%
3.590290394 10242
 
6.8%
ValueCountFrequency (%)
55.29242973 1
< 0.1%
41.64094145 1
< 0.1%
32.58890589 1
< 0.1%
32.54811756 1
< 0.1%
32.25913542 1
< 0.1%

ks_num_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct847
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2196663134
Minimum0
Maximum1.480453014
Zeros118063
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:28.933327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.040268728
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4228559846
Coefficient of variation (CV)1.924992403
Kurtosis0.0122618834
Mean0.2196663134
Median Absolute Deviation (MAD)0
Skewness1.412087574
Sum32949.94701
Variance0.1788071837
MonotonicityNot monotonic
2024-06-11T19:35:29.006036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118063
78.7%
1.023762432 1548
 
1.0%
1.03324115 1459
 
1.0%
1.017830633 1456
 
1.0%
1.049793044 1374
 
0.9%
1.013872843 1358
 
0.9%
1.011100838 1195
 
0.8%
1.00908403 1181
 
0.8%
1.00757098 1023
 
0.7%
1.082760975 995
 
0.7%
Other values (837) 20348
 
13.6%
ValueCountFrequency (%)
0 118063
78.7%
1.000013271 1
 
< 0.1%
1.000030694 1
 
< 0.1%
1.000032841 1
 
< 0.1%
1.000043569 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 21
< 0.1%
1.383209542 1
 
< 0.1%
1.367400612 1
 
< 0.1%
1.357409079 1
 
< 0.1%
1.345493163 6
 
< 0.1%

sms_roam_clc_mea_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:29.064191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:29.111464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

content_clc_td_mnt3
Real number (ℝ)

ZEROS 

Distinct1159
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001405415462
Minimum-5.473543955
Maximum5.867597009
Zeros145658
Zeros (%)97.1%
Negative2149
Negative (%)1.4%
Memory size1.1 MiB
2024-06-11T19:35:29.172890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5.473543955
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5.867597009
Range11.34114096
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1919688519
Coefficient of variation (CV)136.5922442
Kurtosis83.88343988
Mean0.001405415462
Median Absolute Deviation (MAD)0
Skewness1.854660144
Sum210.8123193
Variance0.03685204011
MonotonicityNot monotonic
2024-06-11T19:35:29.245499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145658
97.1%
1.000029917 412
 
0.3%
1.00018546 337
 
0.2%
-1.00006713 211
 
0.1%
-1.00018546 200
 
0.1%
-1.000209001 174
 
0.1%
1.000119017 97
 
0.1%
-1.000594439 78
 
0.1%
1.000731908 78
 
0.1%
-1.000266341 69
 
< 0.1%
Other values (1149) 2686
 
1.8%
ValueCountFrequency (%)
-5.473543955 1
< 0.1%
-4.959322019 1
< 0.1%
-4.536622448 1
< 0.1%
-4.324451432 1
< 0.1%
-4.261428119 1
< 0.1%
ValueCountFrequency (%)
5.867597009 1
< 0.1%
4.954191179 1
< 0.1%
4.577809596 1
< 0.1%
4.379373341 1
< 0.1%
4.198519653 1
< 0.1%

voice_in_cmpttrs_td_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct10733
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.560644211
Minimum0
Maximum22.85052279
Zeros19217
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:29.315067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.23367744
median2.008520551
Q33.461806383
95-th percentile6.672936216
Maximum22.85052279
Range22.85052279
Interquartile range (IQR)2.228128942

Descriptive statistics

Standard deviation2.100833525
Coefficient of variation (CV)0.8204316381
Kurtosis4.137536766
Mean2.560644211
Median Absolute Deviation (MAD)0.9124160964
Skewness1.585526128
Sum384096.6316
Variance4.413501498
MonotonicityNot monotonic
2024-06-11T19:35:29.383064image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19217
 
12.8%
1.064320397 6919
 
4.6%
1.10808554 3729
 
2.5%
1.23367744 1915
 
1.3%
1.251588959 1866
 
1.2%
1.139222859 1856
 
1.2%
1.207704776 1691
 
1.1%
1.26210277 1677
 
1.1%
1.412203867 1400
 
0.9%
1.340902659 1354
 
0.9%
Other values (10723) 108376
72.3%
ValueCountFrequency (%)
0 19217
12.8%
1.064320397 6919
 
4.6%
1.069446038 64
 
< 0.1%
1.075498494 51
 
< 0.1%
1.082760975 77
 
0.1%
ValueCountFrequency (%)
22.85052279 1
< 0.1%
22.21113684 1
< 0.1%
22.12084623 1
< 0.1%
22.04554624 1
< 0.1%
21.73983981 1
< 0.1%

goodok_clc_mea_wk1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:29.435135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:29.481894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_mts_out_nwork_partmax_mnt3
Real number (ℝ)

ZEROS 

Distinct18771
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8706426564
Minimum0
Maximum1.480453014
Zeros32537
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:29.541940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.002232835
median1.044488698
Q31.121317553
95-th percentile1.356420679
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1190847181

Descriptive statistics

Standard deviation0.4701067508
Coefficient of variation (CV)0.5399537311
Kurtosis-0.2570411093
Mean0.8706426564
Median Absolute Deviation (MAD)0.06257959173
Skewness-1.175040008
Sum130596.3985
Variance0.2210003571
MonotonicityNot monotonic
2024-06-11T19:35:29.703140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32537
 
21.7%
1.480453014 4288
 
2.9%
1.164401954 2465
 
1.6%
1.082760975 2062
 
1.4%
1.049793044 1663
 
1.1%
1.03324115 1264
 
0.8%
1.023762432 981
 
0.7%
1.260942818 930
 
0.6%
1.113213566 929
 
0.6%
1.017830633 832
 
0.6%
Other values (18761) 102049
68.0%
ValueCountFrequency (%)
0 32537
21.7%
1.000001439 1
 
< 0.1%
1.000001511 1
 
< 0.1%
1.000002153 1
 
< 0.1%
1.000003992 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 4288
2.9%
1.47727506 1
 
< 0.1%
1.477057085 1
 
< 0.1%
1.476362314 1
 
< 0.1%
1.475896175 1
 
< 0.1%

ks_num_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct41560
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7907809103
Minimum0
Maximum1.480453014
Zeros36888
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:29.773762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000107387
median1.008904331
Q31.046478611
95-th percentile1.16665911
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.04637122361

Descriptive statistics

Standard deviation0.4554819439
Coefficient of variation (CV)0.5759900599
Kurtosis-0.6370254016
Mean0.7907809103
Median Absolute Deviation (MAD)0.03650438773
Skewness-1.114823772
Sum118617.1366
Variance0.2074638012
MonotonicityNot monotonic
2024-06-11T19:35:29.847341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36888
 
24.6%
1.013872843 2325
 
1.6%
1.049793044 2218
 
1.5%
1.006406835 1957
 
1.3%
1.003675345 1772
 
1.2%
1.00238048 1513
 
1.0%
1.001666435 1405
 
0.9%
1.001231401 1175
 
0.8%
1.000946895 1042
 
0.7%
1.000750704 890
 
0.6%
Other values (41550) 98815
65.9%
ValueCountFrequency (%)
0 36888
24.6%
1.0000025 1
 
< 0.1%
1.000005061 1
 
< 0.1%
1.000008234 1
 
< 0.1%
1.000009267 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 175
0.1%
1.46125958 1
 
< 0.1%
1.458869166 2
 
< 0.1%
1.455798728 3
 
< 0.1%
1.453910893 1
 
< 0.1%

voice_mts_in_nrest_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct90082
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6212999442
Minimum0
Maximum1.373178553
Zeros57354
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:29.917878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000113308
Q31.002508974
95-th percentile1.019162864
Maximum1.373178553
Range1.373178553
Interquartile range (IQR)1.002508974

Descriptive statistics

Standard deviation0.4889427842
Coefficient of variation (CV)0.7869673718
Kurtosis-1.764934559
Mean0.6212999442
Median Absolute Deviation (MAD)0.008110861221
Skewness-0.4828691355
Sum93194.99162
Variance0.2390650462
MonotonicityNot monotonic
2024-06-11T19:35:29.986846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57354
38.2%
1.049793044 643
 
0.4%
1.00238048 15
 
< 0.1%
1.164401954 15
 
< 0.1%
1.000505029 14
 
< 0.1%
1.000946895 13
 
< 0.1%
1.006406835 11
 
< 0.1%
1.013872843 11
 
< 0.1%
1.000362834 11
 
< 0.1%
1.001666435 10
 
< 0.1%
Other values (90072) 91903
61.3%
ValueCountFrequency (%)
0 57354
38.2%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
ValueCountFrequency (%)
1.373178553 1
< 0.1%
1.31316983 1
< 0.1%
1.265759813 1
< 0.1%
1.253985639 1
< 0.1%
1.242195681 1
< 0.1%

voice_out_short_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1720
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8118877998
Minimum0
Maximum1.480453014
Zeros32582
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:30.056762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001075172
median1.005491992
Q31.017830633
95-th percentile1.164401954
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.01675546034

Descriptive statistics

Standard deviation0.4344122371
Coefficient of variation (CV)0.5350643737
Kurtosis-0.1655633989
Mean0.8118877998
Median Absolute Deviation (MAD)0.01017382082
Skewness-1.235533922
Sum121783.17
Variance0.1887139918
MonotonicityNot monotonic
2024-06-11T19:35:30.128425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32582
21.7%
1.03324115 4372
 
2.9%
1.049793044 4313
 
2.9%
1.023762432 4309
 
2.9%
1.017830633 4189
 
2.8%
1.013872843 4082
 
2.7%
1.082760975 4050
 
2.7%
1.011100838 3865
 
2.6%
1.164401954 3687
 
2.5%
1.00908403 3617
 
2.4%
Other values (1710) 80934
54.0%
ValueCountFrequency (%)
0 32582
21.7%
1.00005696 1
 
< 0.1%
1.00005872 1
 
< 0.1%
1.00005963 1
 
< 0.1%
1.000063492 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 3394
2.3%
1.460713024 1
 
< 0.1%
1.453910893 1
 
< 0.1%
1.437447952 1
 
< 0.1%
1.434604799 1
 
< 0.1%

voice_mts_in_nrest_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct112019
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1363154976
Minimum-1.006141757
Maximum1.005546048
Zeros36481
Zeros (%)24.3%
Negative46537
Negative (%)31.0%
Memory size1.1 MiB
2024-06-11T19:35:30.200786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.006141757
5-th percentile-1.000095058
Q1-1.000000565
median0
Q31.000008778
95-th percentile1.000184559
Maximum1.005546048
Range2.011687805
Interquartile range (IQR)2.000009343

Descriptive statistics

Standard deviation0.85926344
Coefficient of variation (CV)6.303490471
Kurtosis-1.594774538
Mean0.1363154976
Median Absolute Deviation (MAD)1.000003389
Skewness-0.2650073476
Sum20447.32463
Variance0.7383336593
MonotonicityNot monotonic
2024-06-11T19:35:30.276552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36481
 
24.3%
1.000584711 114
 
0.1%
1.001424332 107
 
0.1%
1.00095998 103
 
0.1%
1.000012183 91
 
0.1%
1.000300379 90
 
0.1%
-1.000300379 87
 
0.1%
-1.000584711 86
 
0.1%
-1.000012183 85
 
0.1%
1.000108887 83
 
0.1%
Other values (112009) 112673
75.1%
ValueCountFrequency (%)
-1.006141757 1
< 0.1%
-1.005172835 1
< 0.1%
-1.004890115 1
< 0.1%
-1.004012891 1
< 0.1%
-1.003835372 1
< 0.1%
ValueCountFrequency (%)
1.005546048 1
< 0.1%
1.005205879 1
< 0.1%
1.004884428 1
< 0.1%
1.004644322 1
< 0.1%
1.004618174 1
< 0.1%

voice_out_cmpttrs_td_cntstd_mnt1
Real number (ℝ)

ZEROS 

Distinct3101
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.315873279
Minimum0
Maximum27.95775466
Zeros42613
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:30.346025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.663597369
Q33.262248815
95-th percentile7.333566518
Maximum27.95775466
Range27.95775466
Interquartile range (IQR)3.262248815

Descriptive statistics

Standard deviation2.502367653
Coefficient of variation (CV)1.080528747
Kurtosis4.900972065
Mean2.315873279
Median Absolute Deviation (MAD)1.663597369
Skewness1.820690234
Sum347380.9919
Variance6.261843869
MonotonicityNot monotonic
2024-06-11T19:35:30.411765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42613
28.4%
1.164401954 12551
 
8.4%
1.45108808 5553
 
3.7%
1.207704776 4557
 
3.0%
1.480453014 4247
 
2.8%
1.839588705 3748
 
2.5%
1.7768194 2623
 
1.7%
1.356301179 2449
 
1.6%
1.663597369 2028
 
1.4%
1.992306409 1989
 
1.3%
Other values (3091) 67642
45.1%
ValueCountFrequency (%)
0 42613
28.4%
1.164401954 12551
 
8.4%
1.207704776 4557
 
3.0%
1.356301179 2449
 
1.6%
1.45108808 5553
 
3.7%
ValueCountFrequency (%)
27.95775466 1
< 0.1%
27.12991455 1
< 0.1%
27.08730653 1
< 0.1%
25.77962478 1
< 0.1%
25.73350906 1
< 0.1%

accum_oth_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct8006
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5557749132
Minimum-1
Maximum1.000699191
Zeros59278
Zeros (%)39.5%
Negative3678
Negative (%)2.5%
Memory size1.1 MiB
2024-06-11T19:35:30.480330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1.000000001
Q31.000000286
95-th percentile1.000007378
Maximum1.000699191
Range2.000699191
Interquartile range (IQR)1.000000286

Descriptive statistics

Standard deviation0.5439969778
Coefficient of variation (CV)0.9788080838
Kurtosis-0.6710806195
Mean0.5557749132
Median Absolute Deviation (MAD)3.991124639 × 10-6
Skewness-0.6789867966
Sum83366.23698
Variance0.2959327119
MonotonicityNot monotonic
2024-06-11T19:35:30.554518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59278
39.5%
1 2862
 
1.9%
1 2048
 
1.4%
-1 1944
 
1.3%
1 1685
 
1.1%
1 1386
 
0.9%
1.000000001 1170
 
0.8%
1.000000001 1084
 
0.7%
1.000000001 984
 
0.7%
1.000000002 923
 
0.6%
Other values (7996) 76636
51.1%
ValueCountFrequency (%)
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
ValueCountFrequency (%)
1.000699191 1
< 0.1%
1.000611171 1
< 0.1%
1.00047037 1
< 0.1%
1.0004025 1
< 0.1%
1.000374293 1
< 0.1%

voice_mts_out_dwork_partmin_mnt1
Real number (ℝ)

ZEROS 

Distinct17213
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6308320954
Minimum0
Maximum1.480453014
Zeros63592
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:30.625796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.009789113
Q31.093257952
95-th percentile1.215579698
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.093257952

Descriptive statistics

Standard deviation0.5446934998
Coefficient of variation (CV)0.8634524206
Kurtosis-1.868713304
Mean0.6308320954
Median Absolute Deviation (MAD)0.1786002893
Skewness-0.2668464202
Sum94624.81431
Variance0.2966910087
MonotonicityNot monotonic
2024-06-11T19:35:30.698796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63592
42.4%
1.164401954 1311
 
0.9%
1.082760975 1161
 
0.8%
1.049793044 886
 
0.6%
1.03324115 719
 
0.5%
1.113213566 622
 
0.4%
1.023762432 616
 
0.4%
1.017830633 510
 
0.3%
1.063158942 445
 
0.3%
1.013872843 425
 
0.3%
Other values (17203) 79713
53.1%
ValueCountFrequency (%)
0 63592
42.4%
1.000001953 1
 
< 0.1%
1.000002231 1
 
< 0.1%
1.000002749 1
 
< 0.1%
1.000003138 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 117
0.1%
1.470423722 1
 
< 0.1%
1.470326038 1
 
< 0.1%
1.464375657 1
 
< 0.1%
1.463993917 1
 
< 0.1%

conn_in_uniq_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.895831852
Minimum0
Maximum43.69039658
Zeros42464
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:30.771252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q34.210401996
95-th percentile7.964623589
Maximum43.69039658
Range43.69039658
Interquartile range (IQR)4.210401996

Descriptive statistics

Standard deviation2.79098844
Coefficient of variation (CV)0.9637950622
Kurtosis2.582947684
Mean2.895831852
Median Absolute Deviation (MAD)2.206948961
Skewness1.254758667
Sum434374.7778
Variance7.78961647
MonotonicityNot monotonic
2024-06-11T19:35:30.837910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42464
28.3%
1.480453014 20199
13.5%
2.206948961 16766
 
11.2%
2.921812056 13846
 
9.2%
3.590290394 11357
 
7.6%
4.210401996 9015
 
6.0%
4.786566308 7190
 
4.8%
5.324077125 5600
 
3.7%
5.827795843 4533
 
3.0%
6.30189811 3503
 
2.3%
Other values (87) 15527
 
10.4%
ValueCountFrequency (%)
0 42464
28.3%
1.480453014 20199
13.5%
2.206948961 16766
 
11.2%
2.921812056 13846
 
9.2%
3.590290394 11357
 
7.6%
ValueCountFrequency (%)
43.69039658 1
< 0.1%
25.349033 1
< 0.1%
24.98883471 1
< 0.1%
24.84175462 1
< 0.1%
24.46614853 2
< 0.1%

data_3g_tv_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct834
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.856140271
Minimum0
Maximum95.35397496
Zeros52992
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:30.905253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.786566308
Q310.83132398
95-th percentile22.92235283
Maximum95.35397496
Range95.35397496
Interquartile range (IQR)10.83132398

Descriptive statistics

Standard deviation8.027577438
Coefficient of variation (CV)1.170859568
Kurtosis3.17281731
Mean6.856140271
Median Absolute Deviation (MAD)4.786566308
Skewness1.534226414
Sum1028421.041
Variance64.44199952
MonotonicityNot monotonic
2024-06-11T19:35:30.976679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52992
35.3%
2.206948961 5913
 
3.9%
3.590290394 5455
 
3.6%
4.786566308 4661
 
3.1%
1.480453014 4524
 
3.0%
5.827795843 3834
 
2.6%
2.921812056 3228
 
2.2%
6.749901739 3213
 
2.1%
7.578965206 2962
 
2.0%
4.210401996 2677
 
1.8%
Other values (824) 60541
40.4%
ValueCountFrequency (%)
0 52992
35.3%
1.480453014 4524
 
3.0%
2.206948961 5913
 
3.9%
2.921812056 3228
 
2.2%
3.590290394 5455
 
3.6%
ValueCountFrequency (%)
95.35397496 1
< 0.1%
89.97854062 1
< 0.1%
88.41465439 1
< 0.1%
84.65739479 1
< 0.1%
83.41955803 1
< 0.1%

voice_in_fix_tar_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct11780
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.308017985
Minimum-56.24276892
Maximum57.41128098
Zeros84352
Zeros (%)56.2%
Negative24787
Negative (%)16.5%
Memory size1.1 MiB
2024-06-11T19:35:31.134851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-56.24276892
5-th percentile-3.224773489
Q10
median0
Q31.012617846
95-th percentile4.829219731
Maximum57.41128098
Range113.6540499
Interquartile range (IQR)1.012617846

Descriptive statistics

Standard deviation3.347417423
Coefficient of variation (CV)10.8676038
Kurtosis22.74939887
Mean0.308017985
Median Absolute Deviation (MAD)0
Skewness0.370090861
Sum46202.69775
Variance11.2052034
MonotonicityNot monotonic
2024-06-11T19:35:31.205606image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84352
56.2%
1.00095998 208
 
0.1%
1.001424332 199
 
0.1%
1.09779114 195
 
0.1%
1.133248024 185
 
0.1%
1.0748555 173
 
0.1%
1.164401954 171
 
0.1%
1.021352973 169
 
0.1%
1.036270046 169
 
0.1%
1.054235958 169
 
0.1%
Other values (11770) 64010
42.7%
ValueCountFrequency (%)
-56.24276892 1
< 0.1%
-47.84272879 1
< 0.1%
-43.19848879 1
< 0.1%
-42.10942548 1
< 0.1%
-41.1109815 1
< 0.1%
ValueCountFrequency (%)
57.41128098 1
< 0.1%
51.74177578 1
< 0.1%
47.05009654 1
< 0.1%
46.90628878 1
< 0.1%
46.36357017 1
< 0.1%

num_act_days_std_mnt3
Real number (ℝ)

ZEROS 

Distinct505
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9007163713
Minimum0
Maximum3.365682108
Zeros70869
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:31.273890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.064320397
Q31.570408707
95-th percentile2.789928284
Maximum3.365682108
Range3.365682108
Interquartile range (IQR)1.570408707

Descriptive statistics

Standard deviation0.9685430362
Coefficient of variation (CV)1.075303022
Kurtosis-0.7157510292
Mean0.9007163713
Median Absolute Deviation (MAD)1.064320397
Skewness0.6277589027
Sum135107.4557
Variance0.938075613
MonotonicityNot monotonic
2024-06-11T19:35:31.346128image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70869
47.2%
1.064320397 11443
 
7.6%
1.10808554 5019
 
3.3%
1.139222859 2300
 
1.5%
1.23367744 1992
 
1.3%
1.207704776 1853
 
1.2%
1.251588959 1788
 
1.2%
1.26210277 1698
 
1.1%
1.340902659 1202
 
0.8%
1.412203867 1197
 
0.8%
Other values (495) 50639
33.8%
ValueCountFrequency (%)
0 70869
47.2%
1.064320397 11443
 
7.6%
1.10808554 5019
 
3.3%
1.126134926 5
 
< 0.1%
1.139222859 2300
 
1.5%
ValueCountFrequency (%)
3.365682108 79
0.1%
3.331833468 123
0.1%
3.315030046 161
0.1%
3.290251909 145
0.1%
3.278814373 163
0.1%

pay_p2p_in_sum_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct321
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1054469597
Minimum0
Maximum71.77200956
Zeros147404
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:31.416743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum71.77200956
Range71.77200956
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9859697615
Coefficient of variation (CV)9.350385861
Kurtosis388.6049786
Mean0.1054469597
Median Absolute Deviation (MAD)0
Skewness14.48677773
Sum15817.04396
Variance0.9721363706
MonotonicityNot monotonic
2024-06-11T19:35:31.488840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147404
98.3%
5.988934212 202
 
0.1%
1.367400612 185
 
0.1%
1.962026024 157
 
0.1%
7.773993599 116
 
0.1%
9.246543868 108
 
0.1%
3.696911934 107
 
0.1%
6.749901739 107
 
0.1%
2.569415055 98
 
0.1%
7.105447662 85
 
0.1%
Other values (311) 1431
 
1.0%
ValueCountFrequency (%)
0 147404
98.3%
1.006406835 4
 
< 0.1%
1.009040754 1
 
< 0.1%
1.013872843 2
 
< 0.1%
1.017830633 1
 
< 0.1%
ValueCountFrequency (%)
71.77200956 1
< 0.1%
43.69989044 1
< 0.1%
37.92611431 1
< 0.1%
33.92983422 1
< 0.1%
32.58890589 1
< 0.1%

pay_p2p_in_sum_max_mnt1
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1422359759
Minimum0
Maximum66.64209178
Zeros148896
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:31.559399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum66.64209178
Range66.64209178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.81174895
Coefficient of variation (CV)12.73762801
Kurtosis223.568811
Mean0.1422359759
Median Absolute Deviation (MAD)0
Skewness14.23459115
Sum21335.39638
Variance3.282434256
MonotonicityNot monotonic
2024-06-11T19:35:31.630844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148896
99.3%
22.29933738 123
 
0.1%
6.749901739 75
 
0.1%
10.26911687 68
 
< 0.1%
24.76754894 65
 
< 0.1%
23.99960696 64
 
< 0.1%
16.45925281 59
 
< 0.1%
26.17309696 58
 
< 0.1%
12.79226812 43
 
< 0.1%
24.38962268 40
 
< 0.1%
Other values (127) 509
 
0.3%
ValueCountFrequency (%)
0 148896
99.3%
1.480453014 3
 
< 0.1%
2.067470177 1
 
< 0.1%
2.206948961 5
 
< 0.1%
2.921812056 6
 
< 0.1%
ValueCountFrequency (%)
66.64209178 1
< 0.1%
57.19147541 1
< 0.1%
56.33829835 1
< 0.1%
50.67975097 1
< 0.1%
48.7308926 1
< 0.1%

voice_mts_in_nwork_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct103517
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8152348709
Minimum0
Maximum1.480453014
Zeros37180
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:31.700735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000005858
median1.020440687
Q31.081031348
95-th percentile1.286107904
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.08102549

Descriptive statistics

Standard deviation0.4770622591
Coefficient of variation (CV)0.5851838239
Kurtosis-0.6878894317
Mean0.8152348709
Median Absolute Deviation (MAD)0.05980692458
Skewness-1.022103769
Sum122285.2306
Variance0.2275883991
MonotonicityNot monotonic
2024-06-11T19:35:31.774305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37180
 
24.8%
1.480453014 2144
 
1.4%
1.082760975 49
 
< 0.1%
1.164401954 47
 
< 0.1%
1.049793044 39
 
< 0.1%
1.03324115 39
 
< 0.1%
1.023762432 32
 
< 0.1%
1.013872843 25
 
< 0.1%
1.260942818 24
 
< 0.1%
1.063158942 22
 
< 0.1%
Other values (103507) 110399
73.6%
ValueCountFrequency (%)
0 37180
24.8%
1 1
 
< 0.1%
1.000000004 1
 
< 0.1%
1.000000007 1
 
< 0.1%
1.00000001 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2144
1.4%
1.479692242 1
 
< 0.1%
1.479141752 1
 
< 0.1%
1.479139213 1
 
< 0.1%
1.479090859 1
 
< 0.1%

goodok_clc_td_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:31.832272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:31.880400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

num_act_days_td_mnt3
Real number (ℝ)

ZEROS 

Distinct497
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10052301
Minimum-1.392220296
Maximum1.399255589
Zeros71735
Zeros (%)47.8%
Negative32768
Negative (%)21.8%
Memory size1.1 MiB
2024-06-11T19:35:31.938569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.392220296
5-th percentile-1.024071269
Q10
median0
Q31.000584711
95-th percentile1.168195363
Maximum1.399255589
Range2.791475884
Interquartile range (IQR)1.000584711

Descriptive statistics

Standard deviation0.7541923445
Coefficient of variation (CV)7.502683663
Kurtosis-1.015525405
Mean0.10052301
Median Absolute Deviation (MAD)1.000048562
Skewness-0.05991270772
Sum15078.45149
Variance0.5688060926
MonotonicityNot monotonic
2024-06-11T19:35:32.008226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71735
47.8%
1.001424332 1871
 
1.2%
1.000584711 1731
 
1.2%
-1.001424332 1597
 
1.1%
-1.00095998 1577
 
1.1%
1.00095998 1520
 
1.0%
1.000108887 1508
 
1.0%
-1.000300379 1410
 
0.9%
-1.000584711 1363
 
0.9%
1.000012183 1354
 
0.9%
Other values (487) 64334
42.9%
ValueCountFrequency (%)
-1.392220296 2
 
< 0.1%
-1.385208506 1
 
< 0.1%
-1.382876573 1
 
< 0.1%
-1.380547345 2
 
< 0.1%
-1.375897095 5
< 0.1%
ValueCountFrequency (%)
1.399255589 79
0.1%
1.396907917 148
0.1%
1.394562812 162
0.1%
1.392220296 169
0.1%
1.38988039 154
0.1%

ks_num_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct1091
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3829952879
Minimum0
Maximum1.480453014
Zeros95031
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:32.078030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.011100838
95-th percentile1.093257952
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.011100838

Descriptive statistics

Standard deviation0.5049190785
Coefficient of variation (CV)1.318342796
Kurtosis-1.641273081
Mean0.3829952879
Median Absolute Deviation (MAD)0
Skewness0.5725590867
Sum57449.29318
Variance0.2549432759
MonotonicityNot monotonic
2024-06-11T19:35:32.149030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95031
63.4%
1.03324115 2821
 
1.9%
1.049793044 2772
 
1.8%
1.023762432 2603
 
1.7%
1.082760975 2398
 
1.6%
1.017830633 2380
 
1.6%
1.013872843 2037
 
1.4%
1.011100838 1853
 
1.2%
1.00908403 1763
 
1.2%
1.164401954 1594
 
1.1%
Other values (1081) 34748
 
23.2%
ValueCountFrequency (%)
0 95031
63.4%
1.000032841 1
 
< 0.1%
1.000053671 1
 
< 0.1%
1.000068302 1
 
< 0.1%
1.000072432 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 175
0.1%
1.411976411 1
 
< 0.1%
1.411976411 2
 
< 0.1%
1.404481711 1
 
< 0.1%
1.395148847 3
 
< 0.1%

all_home_clc_min_mnt1
Real number (ℝ)

ZEROS 

Distinct955
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1227959236
Minimum0
Maximum52.06788685
Zeros145568
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:32.220305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum52.06788685
Range52.06788685
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9674257127
Coefficient of variation (CV)7.878321075
Kurtosis252.3996532
Mean0.1227959236
Median Absolute Deviation (MAD)0
Skewness12.98167547
Sum18419.38854
Variance0.9359125095
MonotonicityNot monotonic
2024-06-11T19:35:32.380609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145568
97.0%
1.604773951 596
 
0.4%
1.604273725 515
 
0.3%
2.463172916 300
 
0.2%
2.46360592 172
 
0.1%
4.0319091 129
 
0.1%
2.462595556 109
 
0.1%
1.00000001 107
 
0.1%
4.497536115 87
 
0.1%
3.281747174 84
 
0.1%
Other values (945) 2333
 
1.6%
ValueCountFrequency (%)
0 145568
97.0%
1.00000001 107
 
0.1%
1.00000004 14
 
< 0.1%
1.00000009 5
 
< 0.1%
1.00000016 3
 
< 0.1%
ValueCountFrequency (%)
52.06788685 1
< 0.1%
39.89469995 1
< 0.1%
33.94122085 1
< 0.1%
30.32646252 1
< 0.1%
28.59872275 1
< 0.1%

block_all_dur_std_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct389
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2887909755
Minimum0
Maximum163.1660081
Zeros149585
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:32.448341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum163.1660081
Range163.1660081
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.866828969
Coefficient of variation (CV)20.31513955
Kurtosis464.6984765
Mean0.2887909755
Median Absolute Deviation (MAD)0
Skewness21.18792573
Sum43318.64633
Variance34.41968215
MonotonicityNot monotonic
2024-06-11T19:35:32.522330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149585
99.7%
1.480453014 19
 
< 0.1%
1.164401954 7
 
< 0.1%
14.42168393 2
 
< 0.1%
9.354248899 2
 
< 0.1%
108.5918074 2
 
< 0.1%
111.9674213 1
 
< 0.1%
155.246711 1
 
< 0.1%
106.9763554 1
 
< 0.1%
100.2732132 1
 
< 0.1%
Other values (379) 379
 
0.3%
ValueCountFrequency (%)
0 149585
99.7%
1.164401954 7
 
< 0.1%
1.207704776 1
 
< 0.1%
1.480453014 19
 
< 0.1%
1.7768194 1
 
< 0.1%
ValueCountFrequency (%)
163.1660081 1
< 0.1%
162.8127365 1
< 0.1%
161.940919 1
< 0.1%
161.3368104 1
< 0.1%
160.9778965 1
< 0.1%

voice_out_td_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct325
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.385968259
Minimum0
Maximum45.9820024
Zeros32341
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:32.597048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.206948961
median7.964623589
Q313.43521855
95-th percentile20.31118337
Maximum45.9820024
Range45.9820024
Interquartile range (IQR)11.22826959

Descriptive statistics

Standard deviation6.827864953
Coefficient of variation (CV)0.8142011443
Kurtosis-0.5485749272
Mean8.385968259
Median Absolute Deviation (MAD)5.757674628
Skewness0.4613796439
Sum1257895.239
Variance46.61973981
MonotonicityNot monotonic
2024-06-11T19:35:32.668375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32341
 
21.6%
1.480453014 5048
 
3.4%
2.206948961 4161
 
2.8%
2.921812056 3708
 
2.5%
3.590290394 3674
 
2.4%
4.786566308 3376
 
2.3%
4.210401996 3348
 
2.2%
5.324077125 3287
 
2.2%
5.827795843 3057
 
2.0%
6.30189811 3008
 
2.0%
Other values (315) 84992
56.7%
ValueCountFrequency (%)
0 32341
21.6%
1.480453014 5048
 
3.4%
2.206948961 4161
 
2.8%
2.921812056 3708
 
2.5%
3.590290394 3674
 
2.4%
ValueCountFrequency (%)
45.9820024 1
< 0.1%
45.63381924 1
< 0.1%
42.89126656 1
< 0.1%
40.27780272 1
< 0.1%
40.03803976 1
< 0.1%

ama_volume_std_mnt1
Real number (ℝ)

ZEROS 

Distinct1598
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03106000001
Minimum0
Maximum1.000000023
Zeros145341
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:32.739100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.000000023
Range1.000000023
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1734804803
Coefficient of variation (CV)5.585334201
Kurtosis27.22875343
Mean0.03106000001
Median Absolute Deviation (MAD)0
Skewness5.406328734
Sum4659.000001
Variance0.03009547705
MonotonicityNot monotonic
2024-06-11T19:35:32.813519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145341
96.9%
1 570
 
0.4%
1 449
 
0.3%
1 201
 
0.1%
1 194
 
0.1%
1 160
 
0.1%
1 156
 
0.1%
1 96
 
0.1%
1 81
 
0.1%
1 81
 
0.1%
Other values (1588) 2671
 
1.8%
ValueCountFrequency (%)
0 145341
96.9%
1 201
 
0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1.000000023 1
< 0.1%
1.000000015 1
< 0.1%
1.000000014 1
< 0.1%
1.000000014 1
< 0.1%
1.000000012 1
< 0.1%

voice_in_roam_clc_std_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009165865771
Minimum0
Maximum24.94862077
Zeros149854
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:32.876517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24.94862077
Range24.94862077
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3204223092
Coefficient of variation (CV)34.95821532
Kurtosis1911.599994
Mean0.009165865771
Median Absolute Deviation (MAD)0
Skewness41.00335908
Sum1374.879866
Variance0.1026704562
MonotonicityNot monotonic
2024-06-11T19:35:32.938968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 149854
99.9%
5.790808077 57
 
< 0.1%
8.182257456 23
 
< 0.1%
11.00444862 15
 
< 0.1%
15.70535781 14
 
< 0.1%
8.976568503 5
 
< 0.1%
11.30259123 5
 
< 0.1%
9.374469732 3
 
< 0.1%
13.16129103 2
 
< 0.1%
16.03378068 1
 
< 0.1%
Other values (21) 21
 
< 0.1%
ValueCountFrequency (%)
0 149854
99.9%
4.845219688 1
 
< 0.1%
5.790808077 57
 
< 0.1%
5.790808077 1
 
< 0.1%
8.182257456 23
 
< 0.1%
ValueCountFrequency (%)
24.94862077 1
< 0.1%
21.11664562 1
< 0.1%
20.69930162 1
< 0.1%
19.05643726 1
< 0.1%
17.4314291 1
< 0.1%

all_clc_td_mnt3
Real number (ℝ)

ZEROS 

Distinct89940
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1362235295
Minimum-24.22145426
Maximum23.37549225
Zeros26507
Zeros (%)17.7%
Negative58922
Negative (%)39.3%
Memory size1.1 MiB
2024-06-11T19:35:33.003628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-24.22145426
5-th percentile-3.836298086
Q1-1.396863161
median0
Q31.646121803
95-th percentile4.129325709
Maximum23.37549225
Range47.59694651
Interquartile range (IQR)3.042984964

Descriptive statistics

Standard deviation2.662923723
Coefficient of variation (CV)19.54819209
Kurtosis4.159649402
Mean0.1362235295
Median Absolute Deviation (MAD)1.517568303
Skewness0.1501035987
Sum20433.52943
Variance7.091162754
MonotonicityNot monotonic
2024-06-11T19:35:33.069745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26507
 
17.7%
1.00041444 205
 
0.1%
1.001958276 203
 
0.1%
-1.001958276 200
 
0.1%
1.471626307 200
 
0.1%
1.001321381 196
 
0.1%
2.428039362 195
 
0.1%
1.000805781 188
 
0.1%
-1.946392451 185
 
0.1%
-1.471626307 182
 
0.1%
Other values (89930) 121739
81.2%
ValueCountFrequency (%)
-24.22145426 1
< 0.1%
-19.24379226 1
< 0.1%
-18.5003981 1
< 0.1%
-18.06817664 1
< 0.1%
-18.01396979 1
< 0.1%
ValueCountFrequency (%)
23.37549225 1
< 0.1%
22.9561765 1
< 0.1%
22.26067819 1
< 0.1%
22.25791238 1
< 0.1%
21.7312002 1
< 0.1%

num_act_days_mea_wk1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.930827036
Minimum0
Maximum5.324077125
Zeros2530
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:33.121604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.921812056
Q15.324077125
median5.324077125
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9948224774
Coefficient of variation (CV)0.2017557035
Kurtosis10.6380986
Mean4.930827036
Median Absolute Deviation (MAD)0
Skewness-3.205593245
Sum739624.0555
Variance0.9896717616
MonotonicityNot monotonic
2024-06-11T19:35:33.171538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.324077125 116579
77.7%
4.786566308 11767
 
7.8%
4.210401996 6585
 
4.4%
3.590290394 4560
 
3.0%
2.921812056 3419
 
2.3%
0 2530
 
1.7%
2.206948961 2460
 
1.6%
1.480453014 2100
 
1.4%
ValueCountFrequency (%)
0 2530
1.7%
1.480453014 2100
1.4%
2.206948961 2460
1.6%
2.921812056 3419
2.3%
3.590290394 4560
3.0%
ValueCountFrequency (%)
5.324077125 116579
77.7%
4.786566308 11767
 
7.8%
4.210401996 6585
 
4.4%
3.590290394 4560
 
3.0%
2.921812056 3419
 
2.3%

data_3g_tar_vol_td_mnt3
Real number (ℝ)

ZEROS 

Distinct108509
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.207013073
Minimum-266.732785
Maximum262.5359236
Zeros40300
Zeros (%)26.9%
Negative50141
Negative (%)33.4%
Memory size1.1 MiB
2024-06-11T19:35:33.234479image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-266.732785
5-th percentile-140.9853854
Q1-59.94335686
median0
Q381.03159466
95-th percentile143.9389681
Maximum262.5359236
Range529.2687086
Interquartile range (IQR)140.9749515

Descriptive statistics

Standard deviation88.09577636
Coefficient of variation (CV)14.19294197
Kurtosis-0.7249943977
Mean6.207013073
Median Absolute Deviation (MAD)72.27302914
Skewness-0.09054271028
Sum931051.9609
Variance7760.865812
MonotonicityNot monotonic
2024-06-11T19:35:33.302774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40300
 
26.9%
-1.000108887 23
 
< 0.1%
1.001424332 23
 
< 0.1%
1.00095998 22
 
< 0.1%
-1.000584711 20
 
< 0.1%
-1.000300379 18
 
< 0.1%
1.002613096 17
 
< 0.1%
-1.001424332 17
 
< 0.1%
-1.00095998 17
 
< 0.1%
-1.001181135 15
 
< 0.1%
Other values (108499) 109528
73.0%
ValueCountFrequency (%)
-266.732785 1
< 0.1%
-264.9680602 1
< 0.1%
-251.8721953 1
< 0.1%
-246.8330916 1
< 0.1%
-240.4063007 1
< 0.1%
ValueCountFrequency (%)
262.5359236 1
< 0.1%
244.0298884 1
< 0.1%
243.7904168 1
< 0.1%
243.2731526 1
< 0.1%
243.1390334 1
< 0.1%

data_3g_dou_min_mnt1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.072946092
Minimum0
Maximum5.324077125
Zeros98223
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:33.357607image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.206948961
95-th percentile4.786566308
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)2.206948961

Descriptive statistics

Standard deviation1.679402786
Coefficient of variation (CV)1.565225689
Kurtosis0.3817865753
Mean1.072946092
Median Absolute Deviation (MAD)0
Skewness1.322840976
Sum160941.9138
Variance2.820393716
MonotonicityNot monotonic
2024-06-11T19:35:33.406852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 98223
65.5%
1.480453014 12621
 
8.4%
2.206948961 9941
 
6.6%
2.921812056 7314
 
4.9%
5.324077125 6876
 
4.6%
3.590290394 5731
 
3.8%
4.210401996 4726
 
3.2%
4.786566308 4568
 
3.0%
ValueCountFrequency (%)
0 98223
65.5%
1.480453014 12621
 
8.4%
2.206948961 9941
 
6.6%
2.921812056 7314
 
4.9%
3.590290394 5731
 
3.8%
ValueCountFrequency (%)
5.324077125 6876
4.6%
4.786566308 4568
3.0%
4.210401996 4726
3.2%
3.590290394 5731
3.8%
2.921812056 7314
4.9%

clc_no_vas_roam_std_mnt1
Real number (ℝ)

ZEROS 

Distinct19732
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.10912334
Minimum0
Maximum48.09603192
Zeros74073
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:33.466849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000015151
Q315.9956774
95-th percentile22.47718297
Maximum48.09603192
Range48.09603192
Interquartile range (IQR)15.9956774

Descriptive statistics

Standard deviation8.541814382
Coefficient of variation (CV)1.201528511
Kurtosis-0.8761469111
Mean7.10912334
Median Absolute Deviation (MAD)1.000015151
Skewness0.6919979059
Sum1066368.501
Variance72.96259294
MonotonicityNot monotonic
2024-06-11T19:35:33.536232image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74073
49.4%
15.9956774 5946
 
4.0%
22.47718447 2863
 
1.9%
16.30699057 2625
 
1.8%
16.60928707 2502
 
1.7%
19.24085122 2485
 
1.7%
14.64753823 2426
 
1.6%
17.18929345 2115
 
1.4%
14.64746474 1870
 
1.2%
18.00443005 1374
 
0.9%
Other values (19722) 51721
34.5%
ValueCountFrequency (%)
0 74073
49.4%
1 11
 
< 0.1%
1.000000002 559
 
0.4%
1.000000003 109
 
0.1%
1.000000007 14
 
< 0.1%
ValueCountFrequency (%)
48.09603192 2
< 0.1%
47.04900944 3
< 0.1%
46.71487617 1
 
< 0.1%
46.46736798 1
 
< 0.1%
45.30294609 4
< 0.1%

all_home_clc_max_mnt1
Real number (ℝ)

ZEROS 

Distinct10213
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.566216569
Minimum0
Maximum54.62828604
Zeros89709
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:33.601474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.735937808
95-th percentile12.91911298
Maximum54.62828604
Range54.62828604
Interquartile range (IQR)3.735937808

Descriptive statistics

Standard deviation4.579940107
Coefficient of variation (CV)1.78470522
Kurtosis6.109729869
Mean2.566216569
Median Absolute Deviation (MAD)0
Skewness2.338430857
Sum384932.4854
Variance20.97585138
MonotonicityNot monotonic
2024-06-11T19:35:33.664115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89709
59.8%
1.604773951 6583
 
4.4%
4.497536115 5865
 
3.9%
1.604273725 3987
 
2.7%
5.750474527 1614
 
1.1%
7.165976416 1607
 
1.1%
2.463172916 1313
 
0.9%
2.46360592 1251
 
0.8%
9.181785673 890
 
0.6%
2.462595556 824
 
0.5%
Other values (10203) 36357
24.2%
ValueCountFrequency (%)
0 89709
59.8%
1.00000001 757
 
0.5%
1.00000004 114
 
0.1%
1.00000009 27
 
< 0.1%
1.00000016 16
 
< 0.1%
ValueCountFrequency (%)
54.62828604 1
< 0.1%
49.10800854 1
< 0.1%
40.0203099 1
< 0.1%
39.35451101 1
< 0.1%
37.61430581 1
< 0.1%

voice_in_fix_tar_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct11619
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.977989454
Minimum0
Maximum83.05747996
Zeros107880
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:33.728583image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.659639159
95-th percentile22.65934694
Maximum83.05747996
Range83.05747996
Interquartile range (IQR)4.659639159

Descriptive statistics

Standard deviation8.319680466
Coefficient of variation (CV)2.091428487
Kurtosis7.803425015
Mean3.977989454
Median Absolute Deviation (MAD)0
Skewness2.642947902
Sum596698.418
Variance69.21708306
MonotonicityNot monotonic
2024-06-11T19:35:33.886504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107880
71.9%
1.164401954 882
 
0.6%
5.579883184 652
 
0.4%
6.068314762 650
 
0.4%
6.5289656 583
 
0.4%
5.059834182 582
 
0.4%
6.749901739 581
 
0.4%
6.30189811 570
 
0.4%
5.827795843 557
 
0.4%
4.210401996 504
 
0.3%
Other values (11609) 36559
 
24.4%
ValueCountFrequency (%)
0 107880
71.9%
1.164401954 882
 
0.6%
1.207704776 43
 
< 0.1%
1.356301179 4
 
< 0.1%
1.45108808 16
 
< 0.1%
ValueCountFrequency (%)
83.05747996 1
< 0.1%
74.21394088 1
< 0.1%
72.21724783 1
< 0.1%
71.48676183 1
< 0.1%
71.42594941 1
< 0.1%

voice_in_cmpttrs_avg_durstd_mnt1
Real number (ℝ)

ZEROS 

Distinct96447
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.7601033
Minimum0
Maximum50.64422849
Zeros33653
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:33.953441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.527878659
median14.16005806
Q322.45639531
95-th percentile35.38270776
Maximum50.64422849
Range50.64422849
Interquartile range (IQR)16.92851665

Descriptive statistics

Standard deviation11.40184752
Coefficient of variation (CV)0.7724774878
Kurtosis-0.5843254321
Mean14.7601033
Median Absolute Deviation (MAD)8.437466374
Skewness0.390639472
Sum2214015.496
Variance130.0021269
MonotonicityNot monotonic
2024-06-11T19:35:34.026615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33653
 
22.4%
5.579883184 223
 
0.1%
6.30189811 196
 
0.1%
6.965059041 190
 
0.1%
6.5289656 189
 
0.1%
7.964623589 178
 
0.1%
6.068314762 173
 
0.1%
5.827795843 171
 
0.1%
5.059834182 167
 
0.1%
5.324077125 165
 
0.1%
Other values (96437) 114695
76.5%
ValueCountFrequency (%)
0 33653
22.4%
1.160634205 1
 
< 0.1%
1.164401954 81
 
0.1%
1.207704776 3
 
< 0.1%
1.242322698 1
 
< 0.1%
ValueCountFrequency (%)
50.64422849 1
< 0.1%
50.58575841 1
< 0.1%
50.35484456 1
< 0.1%
48.68931669 1
< 0.1%
48.6778397 1
< 0.1%

voice_out_td_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct3643
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.812262822
Minimum0
Maximum45.84475479
Zeros11675
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:34.095321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.482314824
median8.45305893
Q313.15467251
95-th percentile19.52497633
Maximum45.84475479
Range45.84475479
Interquartile range (IQR)9.672357687

Descriptive statistics

Standard deviation6.17644509
Coefficient of variation (CV)0.7008920654
Kurtosis-0.3867352603
Mean8.812262822
Median Absolute Deviation (MAD)4.825340881
Skewness0.4439437861
Sum1321839.423
Variance38.14847395
MonotonicityNot monotonic
2024-06-11T19:35:34.164977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11675
 
7.8%
1.006406835 2081
 
1.4%
1.023762432 1399
 
0.9%
1.049793044 1151
 
0.8%
1.082760975 944
 
0.6%
1.121317553 843
 
0.6%
1.164401954 763
 
0.5%
1.211169962 698
 
0.5%
1.260942818 667
 
0.4%
1.480453014 613
 
0.4%
Other values (3633) 129166
86.1%
ValueCountFrequency (%)
0 11675
7.8%
1.006406835 2081
 
1.4%
1.00757098 32
 
< 0.1%
1.00908403 28
 
< 0.1%
1.011100838 48
 
< 0.1%
ValueCountFrequency (%)
45.84475479 1
< 0.1%
39.71016319 1
< 0.1%
38.93879581 1
< 0.1%
38.07186432 1
< 0.1%
37.91681088 1
< 0.1%

voice_in_cmpttrs_td_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct2662
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1759693893
Minimum-9.392345667
Maximum12.21445687
Zeros20249
Zeros (%)13.5%
Negative55388
Negative (%)36.9%
Memory size1.1 MiB
2024-06-11T19:35:34.233410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-9.392345667
5-th percentile-1.240430812
Q1-1.004137058
median0
Q31.026925896
95-th percentile1.553931335
Maximum12.21445687
Range21.60680254
Interquartile range (IQR)2.031062954

Descriptive statistics

Standard deviation1.14075877
Coefficient of variation (CV)6.48271142
Kurtosis0.4476746464
Mean0.1759693893
Median Absolute Deviation (MAD)1.011924485
Skewness0.004687340111
Sum26395.4084
Variance1.301330571
MonotonicityNot monotonic
2024-06-11T19:35:34.302167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20249
 
13.5%
1.001424332 1645
 
1.1%
1.00095998 1589
 
1.1%
1.000584711 1470
 
1.0%
1.000108887 1432
 
1.0%
1.000012183 1419
 
0.9%
1.000300379 1419
 
0.9%
-1.001424332 1403
 
0.9%
-1.000300379 1342
 
0.9%
-1.000012183 1336
 
0.9%
Other values (2652) 116696
77.8%
ValueCountFrequency (%)
-9.392345667 1
< 0.1%
-9.135971443 1
< 0.1%
-8.915673336 1
< 0.1%
-8.368813193 1
< 0.1%
-7.472047109 1
< 0.1%
ValueCountFrequency (%)
12.21445687 1
< 0.1%
11.35395572 1
< 0.1%
9.988018523 1
< 0.1%
9.339638992 1
< 0.1%
8.986211708 1
< 0.1%

goodok_clc_mea_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:34.354493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:34.402987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

abon_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1087
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05593951177
Minimum0
Maximum1.480453014
Zeros144184
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:34.461182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2791033685
Coefficient of variation (CV)4.989377985
Kurtosis21.15946086
Mean0.05593951177
Median Absolute Deviation (MAD)0
Skewness4.805470851
Sum8390.926765
Variance0.0778986903
MonotonicityNot monotonic
2024-06-11T19:35:34.531682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144184
96.1%
1.480453014 3465
 
2.3%
1.462337126 201
 
0.1%
1.47648215 75
 
0.1%
1.435460395 71
 
< 0.1%
1.44763168 56
 
< 0.1%
1.438220764 41
 
< 0.1%
1.470226937 37
 
< 0.1%
1.434608471 33
 
< 0.1%
1.396629553 32
 
< 0.1%
Other values (1077) 1805
 
1.2%
ValueCountFrequency (%)
0 144184
96.1%
1.000000025 1
 
< 0.1%
1.000000068 1
 
< 0.1%
1.000000077 1
 
< 0.1%
1.000000176 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 3465
2.3%
1.480452674 25
 
< 0.1%
1.48045267 1
 
< 0.1%
1.480452589 3
 
< 0.1%
1.480452549 4
 
< 0.1%

clc_no_vas_roam_td_mnt3
Real number (ℝ)

ZEROS 

Distinct62180
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1142331352
Minimum-23.55216651
Maximum20.34920539
Zeros38882
Zeros (%)25.9%
Negative53074
Negative (%)35.4%
Memory size1.1 MiB
2024-06-11T19:35:34.601666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-23.55216651
5-th percentile-3.539628456
Q1-1.264147598
median0
Q31.471626307
95-th percentile3.785684425
Maximum20.34920539
Range43.9013719
Interquartile range (IQR)2.735773905

Descriptive statistics

Standard deviation2.376364937
Coefficient of variation (CV)20.80276387
Kurtosis3.667503061
Mean0.1142331352
Median Absolute Deviation (MAD)1.360381882
Skewness0.1741956251
Sum17134.97027
Variance5.647110313
MonotonicityNot monotonic
2024-06-11T19:35:34.670023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38882
 
25.9%
2.428039362 374
 
0.2%
-1.946392451 343
 
0.2%
1.471626307 335
 
0.2%
-1.471626307 328
 
0.2%
-1.996829027 311
 
0.2%
1.996829027 300
 
0.2%
-1.086879225 299
 
0.2%
-1.500187047 299
 
0.2%
-1.255744213 276
 
0.2%
Other values (62170) 108253
72.2%
ValueCountFrequency (%)
-23.55216651 1
 
< 0.1%
-18.06107811 1
 
< 0.1%
-16.70066505 1
 
< 0.1%
-16.36688122 1
 
< 0.1%
-16.28337033 3
< 0.1%
ValueCountFrequency (%)
20.34920539 1
< 0.1%
20.07784461 1
< 0.1%
19.58146311 1
< 0.1%
19.57765998 1
< 0.1%
17.36748321 1
< 0.1%

conn_in_uniq_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct6492
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.503059825
Minimum0
Maximum24.5733637
Zeros4512
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:34.737197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.10808554
Q11.670092315
median2.254670508
Q33.062151174
95-th percentile4.848572678
Maximum24.5733637
Range24.5733637
Interquartile range (IQR)1.392058859

Descriptive statistics

Standard deviation1.320763126
Coefficient of variation (CV)0.5276594322
Kurtosis11.32729359
Mean2.503059825
Median Absolute Deviation (MAD)0.6636372355
Skewness1.995927882
Sum375458.9737
Variance1.744415235
MonotonicityNot monotonic
2024-06-11T19:35:34.808686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4512
 
3.0%
1.064320397 1969
 
1.3%
1.26210277 1331
 
0.9%
1.10808554 1287
 
0.9%
1.412203867 1252
 
0.8%
1.340902659 1207
 
0.8%
1.59627656 1124
 
0.7%
1.477823573 1062
 
0.7%
1.751101376 1045
 
0.7%
1.701978147 1029
 
0.7%
Other values (6482) 134182
89.5%
ValueCountFrequency (%)
0 4512
3.0%
1.064320397 1969
1.3%
1.069446038 38
 
< 0.1%
1.075498494 37
 
< 0.1%
1.082760975 57
 
< 0.1%
ValueCountFrequency (%)
24.5733637 1
< 0.1%
22.662936 1
< 0.1%
22.63308188 1
< 0.1%
22.36955792 1
< 0.1%
21.89665171 1
< 0.1%

non_accum_internet_vol_max_mnt1
Real number (ℝ)

ZEROS 

Distinct112524
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.3810042
Minimum-22.10908027
Maximum390.1456134
Zeros31464
Zeros (%)21.0%
Negative15
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:34.877729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-22.10908027
5-th percentile0
Q112.79226812
median182.0759644
Q3228.5970851
95-th percentile272.2594117
Maximum390.1456134
Range412.2546937
Interquartile range (IQR)215.804817

Descriptive statistics

Standard deviation101.8408317
Coefficient of variation (CV)0.705361708
Kurtosis-1.427889961
Mean144.3810042
Median Absolute Deviation (MAD)65.0118774
Skewness-0.3723557579
Sum21657150.63
Variance10371.555
MonotonicityNot monotonic
2024-06-11T19:35:34.946288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31464
 
21.0%
1.480453014 1044
 
0.7%
2.206948961 306
 
0.2%
2.921812056 227
 
0.2%
4.786566308 164
 
0.1%
3.590290394 163
 
0.1%
4.210401996 136
 
0.1%
22.29933738 123
 
0.1%
5.324077125 107
 
0.1%
5.827795843 105
 
0.1%
Other values (112514) 116161
77.4%
ValueCountFrequency (%)
-22.10908027 1
< 0.1%
-21.52994836 1
< 0.1%
-20.92424371 1
< 0.1%
-20.34520313 1
< 0.1%
-16.73153279 1
< 0.1%
ValueCountFrequency (%)
390.1456134 1
< 0.1%
378.7587435 1
< 0.1%
366.0646303 1
< 0.1%
362.6641803 1
< 0.1%
361.263391 1
< 0.1%

conn_out_uniq_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.412386527
Minimum0
Maximum51.0909787
Zeros64537
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:35.014097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.480453014
Q34.210401996
95-th percentile7.964623589
Maximum51.0909787
Range51.0909787
Interquartile range (IQR)4.210401996

Descriptive statistics

Standard deviation2.831947283
Coefficient of variation (CV)1.173919375
Kurtosis2.61043757
Mean2.412386527
Median Absolute Deviation (MAD)1.480453014
Skewness1.345885481
Sum361857.9791
Variance8.019925415
MonotonicityNot monotonic
2024-06-11T19:35:35.086291image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64537
43.0%
1.480453014 13927
 
9.3%
2.206948961 12208
 
8.1%
2.921812056 10691
 
7.1%
3.590290394 9067
 
6.0%
4.210401996 7448
 
5.0%
4.786566308 6222
 
4.1%
5.324077125 4824
 
3.2%
5.827795843 3969
 
2.6%
6.30189811 3161
 
2.1%
Other values (84) 13946
 
9.3%
ValueCountFrequency (%)
0 64537
43.0%
1.480453014 13927
 
9.3%
2.206948961 12208
 
8.1%
2.921812056 10691
 
7.1%
3.590290394 9067
 
6.0%
ValueCountFrequency (%)
51.0909787 1
< 0.1%
29.07216692 1
< 0.1%
28.19555496 1
< 0.1%
25.27782888 1
< 0.1%
25.13417803 1
< 0.1%

gprs_clc_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001774042714
Minimum0
Maximum12.21037855
Zeros149954
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:35.232071image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12.21037855
Range12.21037855
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1104034468
Coefficient of variation (CV)62.23268802
Kurtosis6113.673687
Mean0.001774042714
Median Absolute Deviation (MAD)0
Skewness73.41092963
Sum266.1064071
Variance0.01218892106
MonotonicityNot monotonic
2024-06-11T19:35:35.292754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 149954
> 99.9%
4.497536115 18
 
< 0.1%
3.539668309 9
 
< 0.1%
9.181785673 4
 
< 0.1%
7.165976416 3
 
< 0.1%
4.497939569 3
 
< 0.1%
8.921939477 2
 
< 0.1%
5.7508689 2
 
< 0.1%
11.23923554 1
 
< 0.1%
12.21037855 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 149954
> 99.9%
3.539668309 9
 
< 0.1%
4.497536115 18
 
< 0.1%
4.497939569 3
 
< 0.1%
5.750474527 1
 
< 0.1%
ValueCountFrequency (%)
12.21037855 1
 
< 0.1%
12.20938997 1
 
< 0.1%
11.23923554 1
 
< 0.1%
10.81975628 1
 
< 0.1%
9.181785673 4
< 0.1%

voice_mts_in_drest_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct119651
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.843874865
Minimum0
Maximum1.480453014
Zeros27024
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:35.359586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000897929
median1.013271137
Q31.035185084
95-th percentile1.083170138
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.03428715453

Descriptive statistics

Standard deviation0.3967199728
Coefficient of variation (CV)0.4701170627
Kurtosis0.7380710182
Mean0.843874865
Median Absolute Deviation (MAD)0.01424461552
Skewness-1.641011902
Sum126581.2297
Variance0.1573867368
MonotonicityNot monotonic
2024-06-11T19:35:35.431196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27024
 
18.0%
1.049793044 2058
 
1.4%
1.164401954 176
 
0.1%
1.006406835 19
 
< 0.1%
1.013872843 19
 
< 0.1%
1.003675345 14
 
< 0.1%
1.00908403 12
 
< 0.1%
1.000946895 9
 
< 0.1%
1.001123771 9
 
< 0.1%
1.029532511 9
 
< 0.1%
Other values (119641) 120651
80.4%
ValueCountFrequency (%)
0 27024
18.0%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.480191657 1
< 0.1%
1.471464189 1
< 0.1%
1.437447952 1
< 0.1%
1.435868034 1
< 0.1%

sms_out_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct239
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7617287263
Minimum0
Maximum67.85337954
Zeros115713
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:35.502659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.590290394
Maximum67.85337954
Range67.85337954
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.216517783
Coefficient of variation (CV)2.909851902
Kurtosis64.66757449
Mean0.7617287263
Median Absolute Deviation (MAD)0
Skewness6.431776823
Sum114259.3089
Variance4.912951082
MonotonicityNot monotonic
2024-06-11T19:35:35.572250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115713
77.1%
1.480453014 14813
 
9.9%
2.206948961 6762
 
4.5%
2.921812056 3333
 
2.2%
3.590290394 2095
 
1.4%
4.210401996 1304
 
0.9%
4.786566308 956
 
0.6%
5.324077125 654
 
0.4%
5.827795843 529
 
0.4%
6.30189811 395
 
0.3%
Other values (229) 3446
 
2.3%
ValueCountFrequency (%)
0 115713
77.1%
1.480453014 14813
 
9.9%
2.206948961 6762
 
4.5%
2.921812056 3333
 
2.2%
3.590290394 2095
 
1.4%
ValueCountFrequency (%)
67.85337954 1
< 0.1%
51.92939259 1
< 0.1%
45.19176071 1
< 0.1%
44.28654651 1
< 0.1%
43.91665356 1
< 0.1%

voice_in_fix_tar_dur_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct140
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03015103231
Minimum0
Maximum81.6367091
Zeros149780
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:35.640656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum81.6367091
Range81.6367091
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9957548942
Coefficient of variation (CV)33.02556555
Kurtosis2509.482231
Mean0.03015103231
Median Absolute Deviation (MAD)0
Skewness45.40433055
Sum4522.654847
Variance0.9915278093
MonotonicityNot monotonic
2024-06-11T19:35:35.712726image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149780
99.9%
4.210401996 7
 
< 0.1%
10.55454345 7
 
< 0.1%
1.480453014 5
 
< 0.1%
7.578965206 5
 
< 0.1%
9.669720902 5
 
< 0.1%
6.749901739 5
 
< 0.1%
17.34626355 4
 
< 0.1%
7.174761058 4
 
< 0.1%
3.590290394 4
 
< 0.1%
Other values (130) 174
 
0.1%
ValueCountFrequency (%)
0 149780
99.9%
1.480453014 5
 
< 0.1%
2.206948961 1
 
< 0.1%
2.921812056 1
 
< 0.1%
3.590290394 4
 
< 0.1%
ValueCountFrequency (%)
81.6367091 1
< 0.1%
77.75927039 1
< 0.1%
76.06893234 1
< 0.1%
74.79572216 1
< 0.1%
72.6107672 1
< 0.1%

pay_sum_min_mnt1
Real number (ℝ)

ZEROS 

Distinct224
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06263280417
Minimum-49.40676967
Maximum64.54893947
Zeros149271
Zeros (%)99.5%
Negative20
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:35.782113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-49.40676967
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64.54893947
Range113.9557091
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.168399329
Coefficient of variation (CV)18.65475041
Kurtosis571.0467614
Mean0.06263280417
Median Absolute Deviation (MAD)0
Skewness16.19873159
Sum9394.920625
Variance1.365156993
MonotonicityNot monotonic
2024-06-11T19:35:35.849943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149271
99.5%
6.749901739 52
 
< 0.1%
10.26911687 46
 
< 0.1%
16.45925281 44
 
< 0.1%
22.29933738 37
 
< 0.1%
12.79226812 26
 
< 0.1%
2.206948961 21
 
< 0.1%
8.687248223 21
 
< 0.1%
4.210401996 14
 
< 0.1%
29.12504295 14
 
< 0.1%
Other values (214) 454
 
0.3%
ValueCountFrequency (%)
-49.40676967 1
< 0.1%
-48.71431966 1
< 0.1%
-46.51407661 1
< 0.1%
-40.34803906 1
< 0.1%
-40.0162705 1
< 0.1%
ValueCountFrequency (%)
64.54893947 1
< 0.1%
63.43176409 1
< 0.1%
48.7308926 1
< 0.1%
42.97108718 1
< 0.1%
38.35003304 1
< 0.1%

abon_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct9121
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2432250226
Minimum0
Maximum1.176549816
Zeros116279
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:35.918398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.10808554
Maximum1.176549816
Range1.176549816
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.451937028
Coefficient of variation (CV)1.858102522
Kurtosis-0.2428722072
Mean0.2432250226
Median Absolute Deviation (MAD)0
Skewness1.322883812
Sum36483.7534
Variance0.2042470772
MonotonicityNot monotonic
2024-06-11T19:35:35.991234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116279
77.5%
1.064320397 12630
 
8.4%
1.10808554 2550
 
1.7%
1.139222859 1677
 
1.1%
1.105699061 341
 
0.2%
1.061367816 312
 
0.2%
1.057050894 191
 
0.1%
1.13722061 165
 
0.1%
1.058996362 156
 
0.1%
1.103793057 138
 
0.1%
Other values (9111) 15561
 
10.4%
ValueCountFrequency (%)
0 116279
77.5%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.176549816 1
< 0.1%
1.176275752 1
< 0.1%
1.176007344 1
< 0.1%
1.175469743 1
< 0.1%
1.175319133 2
< 0.1%

all_home_clc_std_mnt3
Real number (ℝ)

ZEROS 

Distinct45485
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.421780814
Minimum0
Maximum33.60258817
Zeros55304
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:36.061072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.268542924
Q33.459202913
95-th percentile9.174163256
Maximum33.60258817
Range33.60258817
Interquartile range (IQR)3.459202913

Descriptive statistics

Standard deviation3.166252842
Coefficient of variation (CV)1.307406857
Kurtosis4.874158907
Mean2.421780814
Median Absolute Deviation (MAD)1.268542924
Skewness1.984818205
Sum363267.122
Variance10.02515706
MonotonicityNot monotonic
2024-06-11T19:35:36.132773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55304
36.9%
1.085479715 5034
 
3.4%
1.901723775 4064
 
2.7%
1.085391526 2090
 
1.4%
2.399310608 1555
 
1.0%
1.142133535 1022
 
0.7%
3.038469295 961
 
0.6%
1.268542924 847
 
0.6%
1.141992637 702
 
0.5%
1.041642915 671
 
0.4%
Other values (45475) 77750
51.8%
ValueCountFrequency (%)
0 55304
36.9%
1.000000001 484
 
0.3%
1.000000001 1
 
< 0.1%
1.000000002 175
 
0.1%
1.000000002 1
 
< 0.1%
ValueCountFrequency (%)
33.60258817 1
< 0.1%
30.03909523 1
< 0.1%
29.91189778 1
< 0.1%
28.98925083 1
< 0.1%
28.17670783 1
< 0.1%

content_cnt_mea_mnt3
Real number (ℝ)

Distinct1749
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.705891706
Minimum0
Maximum63.98537334
Zeros1374
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:36.202418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.854344766
Q16.566204179
median7.741800385
Q38.915279861
95-th percentile11.31814427
Maximum63.98537334
Range63.98537334
Interquartile range (IQR)2.349075682

Descriptive statistics

Standard deviation2.372673979
Coefficient of variation (CV)0.3079038831
Kurtosis6.740167769
Mean7.705891706
Median Absolute Deviation (MAD)1.175596206
Skewness0.3809463165
Sum1155883.756
Variance5.629581812
MonotonicityNot monotonic
2024-06-11T19:35:36.271247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1374
 
0.9%
7.578965206 1222
 
0.8%
7.379305185 1178
 
0.8%
7.838014641 1177
 
0.8%
7.24350155 1167
 
0.8%
7.174761058 1166
 
0.8%
7.709483988 1160
 
0.8%
7.644477401 1142
 
0.8%
7.677043351 1136
 
0.8%
7.964623589 1127
 
0.8%
Other values (1739) 138151
92.1%
ValueCountFrequency (%)
0 1374
0.9%
1.006406835 166
 
0.1%
1.011100838 1
 
< 0.1%
1.017830633 1
 
< 0.1%
1.023762432 87
 
0.1%
ValueCountFrequency (%)
63.98537334 1
< 0.1%
42.03753506 1
< 0.1%
37.61591161 1
< 0.1%
34.42888507 1
< 0.1%
33.50458616 1
< 0.1%

all_home_clc_mea_wk1
Real number (ℝ)

ZEROS 

Distinct5159
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.009224108
Minimum0
Maximum52.26767254
Zeros123887
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:36.340529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.165976416
Maximum52.26767254
Range52.26767254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.042385336
Coefficient of variation (CV)3.014578537
Kurtosis20.95040546
Mean1.009224108
Median Absolute Deviation (MAD)0
Skewness4.165114917
Sum151383.6162
Variance9.256108531
MonotonicityNot monotonic
2024-06-11T19:35:36.411983image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123887
82.6%
1.604773951 3074
 
2.0%
1.604273725 2103
 
1.4%
4.497536115 1949
 
1.3%
2.463172916 714
 
0.5%
2.46360592 646
 
0.4%
7.165976416 591
 
0.4%
5.750474527 558
 
0.4%
1.00000001 444
 
0.3%
2.462595556 420
 
0.3%
Other values (5149) 15614
 
10.4%
ValueCountFrequency (%)
0 123887
82.6%
1.00000001 444
 
0.3%
1.00000004 89
 
0.1%
1.00000009 17
 
< 0.1%
1.00000016 9
 
< 0.1%
ValueCountFrequency (%)
52.26767254 1
< 0.1%
41.54192774 1
< 0.1%
39.35451101 1
< 0.1%
37.42983123 1
< 0.1%
36.48843732 1
< 0.1%

voice_mts_out_nrest_partmax_mnt3
Real number (ℝ)

ZEROS 

Distinct15607
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7386300032
Minimum0
Maximum1.480453014
Zeros45276
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:36.479424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.008030339
Q31.039562766
95-th percentile1.198301902
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.039562766

Descriptive statistics

Standard deviation0.4919107076
Coefficient of variation (CV)0.6659771543
Kurtosis-1.231487977
Mean0.7386300032
Median Absolute Deviation (MAD)0.04551259008
Skewness-0.7680273339
Sum110794.5005
Variance0.2419761443
MonotonicityNot monotonic
2024-06-11T19:35:36.639650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45276
30.2%
1.480453014 2013
 
1.3%
1.049793044 1270
 
0.8%
1.164401954 1255
 
0.8%
1.082760975 1237
 
0.8%
1.03324115 1156
 
0.8%
1.023762432 1057
 
0.7%
1.017830633 1015
 
0.7%
1.013872843 897
 
0.6%
1.011100838 776
 
0.5%
Other values (15597) 94048
62.7%
ValueCountFrequency (%)
0 45276
30.2%
1.000001015 1
 
< 0.1%
1.000001236 1
 
< 0.1%
1.000001637 1
 
< 0.1%
1.000002532 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2013
1.3%
1.472113097 1
 
< 0.1%
1.472011531 1
 
< 0.1%
1.471907461 2
 
< 0.1%
1.471579263 1
 
< 0.1%

sms_out_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct1792
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03291841891
Minimum-21.26016858
Maximum32.05349275
Zeros91489
Zeros (%)61.0%
Negative26955
Negative (%)18.0%
Memory size1.1 MiB
2024-06-11T19:35:36.710891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-21.26016858
5-th percentile-1.009327856
Q10
median0
Q30
95-th percentile1.011924485
Maximum32.05349275
Range53.31366132
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7452914993
Coefficient of variation (CV)22.64056185
Kurtosis56.01382665
Mean0.03291841891
Median Absolute Deviation (MAD)0
Skewness0.6445838567
Sum4937.762836
Variance0.555459419
MonotonicityNot monotonic
2024-06-11T19:35:36.782254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91489
61.0%
1.00095998 2097
 
1.4%
1.001424332 2020
 
1.3%
1.000300379 2001
 
1.3%
1.000584711 1989
 
1.3%
1.000108887 1948
 
1.3%
-1.001424332 1817
 
1.2%
1.000012183 1773
 
1.2%
-1.00095998 1762
 
1.2%
-1.000584711 1673
 
1.1%
Other values (1782) 41431
27.6%
ValueCountFrequency (%)
-21.26016858 1
< 0.1%
-19.65317614 1
< 0.1%
-13.60634369 1
< 0.1%
-13.24924664 1
< 0.1%
-13.05213788 1
< 0.1%
ValueCountFrequency (%)
32.05349275 1
< 0.1%
18.30312273 1
< 0.1%
16.49692409 1
< 0.1%
15.98845297 1
< 0.1%
14.99938151 1
< 0.1%

ama_volume_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct1718
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05754666667
Minimum-1
Maximum1.000000005
Zeros141356
Zeros (%)94.2%
Negative6
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:36.851277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1.000000005
Range2.000000005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2330566668
Coefficient of variation (CV)4.049872569
Kurtosis12.42092777
Mean0.05754666667
Median Absolute Deviation (MAD)0
Skewness3.790326228
Sum8632
Variance0.05431540993
MonotonicityNot monotonic
2024-06-11T19:35:36.927107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141356
94.2%
1 1240
 
0.8%
1 805
 
0.5%
1 669
 
0.4%
1 274
 
0.2%
1 261
 
0.2%
1 258
 
0.2%
1 181
 
0.1%
1 171
 
0.1%
1 167
 
0.1%
Other values (1708) 4618
 
3.1%
ValueCountFrequency (%)
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
-1 2
< 0.1%
ValueCountFrequency (%)
1.000000005 1
< 0.1%
1.000000003 1
< 0.1%
1.000000002 1
< 0.1%
1.000000002 1
< 0.1%
1.000000002 1
< 0.1%

voice_in_mts_avg_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct131267
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.65830668
Minimum0
Maximum59.29223614
Zeros8647
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:36.998730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.97645293
median24.67293219
Q331.01680361
95-th percentile39.28247427
Maximum59.29223614
Range59.29223614
Interquartile range (IQR)13.04035068

Descriptive statistics

Standard deviation10.5721693
Coefficient of variation (CV)0.4468692307
Kurtosis-0.07413557596
Mean23.65830668
Median Absolute Deviation (MAD)6.507383699
Skewness-0.4904394401
Sum3548746.001
Variance111.7707638
MonotonicityNot monotonic
2024-06-11T19:35:37.068442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8647
 
5.8%
1.657607816 71
 
< 0.1%
1.778610665 65
 
< 0.1%
1.423264181 63
 
< 0.1%
2.084626173 62
 
< 0.1%
1.900753899 61
 
< 0.1%
1.962026024 59
 
< 0.1%
2.206948961 53
 
< 0.1%
1.260942818 52
 
< 0.1%
2.3892276 52
 
< 0.1%
Other values (131257) 140815
93.9%
ValueCountFrequency (%)
0 8647
5.8%
1.006406835 14
 
< 0.1%
1.023762432 21
 
< 0.1%
1.049793044 30
 
< 0.1%
1.073947946 1
 
< 0.1%
ValueCountFrequency (%)
59.29223614 1
< 0.1%
53.47120161 1
< 0.1%
53.40245513 1
< 0.1%
53.3425079 1
< 0.1%
52.59524874 1
< 0.1%

pay_p2p_out_sum_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct115
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06637583273
Minimum-77.73729331
Maximum0
Zeros149389
Zeros (%)99.6%
Negative611
Negative (%)0.4%
Memory size1.1 MiB
2024-06-11T19:35:37.138344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-77.73729331
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range77.73729331
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.228189511
Coefficient of variation (CV)-18.50356463
Kurtosis729.6427445
Mean-0.06637583273
Median Absolute Deviation (MAD)0
Skewness-24.07007977
Sum-9956.374909
Variance1.508449474
MonotonicityNot monotonic
2024-06-11T19:35:37.214312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149389
99.6%
-6.749901739 80
 
0.1%
-10.26911687 60
 
< 0.1%
-12.79226812 43
 
< 0.1%
-16.45925281 34
 
< 0.1%
-4.210401996 30
 
< 0.1%
-22.29933738 30
 
< 0.1%
-8.687248223 27
 
< 0.1%
-11.61519305 19
 
< 0.1%
-26.17309696 17
 
< 0.1%
Other values (105) 271
 
0.2%
ValueCountFrequency (%)
-77.73729331 1
< 0.1%
-71.81865295 1
< 0.1%
-58.82684383 1
< 0.1%
-53.48917801 1
< 0.1%
-50.05565371 1
< 0.1%
ValueCountFrequency (%)
0 149389
99.6%
-1.00000001 1
 
< 0.1%
-1.480453014 4
 
< 0.1%
-2.206948961 5
 
< 0.1%
-2.921812056 5
 
< 0.1%

voice_out_tar_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct16083
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2827830525
Minimum-101.7206221
Maximum90.56333822
Zeros11791
Zeros (%)7.9%
Negative67736
Negative (%)45.2%
Memory size1.1 MiB
2024-06-11T19:35:37.288683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-101.7206221
5-th percentile-45.75899843
Q1-25.41143459
median0
Q325.67536974
95-th percentile45.08163739
Maximum90.56333822
Range192.2839603
Interquartile range (IQR)51.08680433

Descriptive statistics

Standard deviation29.58090004
Coefficient of variation (CV)104.6063397
Kurtosis-1.036664918
Mean0.2827830525
Median Absolute Deviation (MAD)25.55875739
Skewness-0.04126496464
Sum42417.45787
Variance875.0296471
MonotonicityNot monotonic
2024-06-11T19:35:37.364313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11791
 
7.9%
-2.431015877 297
 
0.2%
2.431015877 257
 
0.2%
2.124878644 252
 
0.2%
1.238333209 238
 
0.2%
-1.238333209 236
 
0.2%
-2.124878644 234
 
0.2%
-1.514559429 227
 
0.2%
-1.816535297 223
 
0.1%
1.816535297 215
 
0.1%
Other values (16073) 136030
90.7%
ValueCountFrequency (%)
-101.7206221 1
< 0.1%
-98.87397031 1
< 0.1%
-88.38278687 1
< 0.1%
-85.60035537 1
< 0.1%
-84.62163653 1
< 0.1%
ValueCountFrequency (%)
90.56333822 1
< 0.1%
89.53010727 1
< 0.1%
87.52096935 1
< 0.1%
86.61937108 1
< 0.1%
84.96785478 1
< 0.1%

voice_mts_out_nwork_partmax_mnt1
Real number (ℝ)

ZEROS 

Distinct17144
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7307811024
Minimum0
Maximum1.480453014
Zeros47941
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:37.436829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.012633509
Q31.061084156
95-th percentile1.232167942
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.061084156

Descriptive statistics

Standard deviation0.50723533
Coefficient of variation (CV)0.6941002283
Kurtosis-1.374099434
Mean0.7307811024
Median Absolute Deviation (MAD)0.07646455483
Skewness-0.6832068671
Sum109617.1654
Variance0.25728768
MonotonicityNot monotonic
2024-06-11T19:35:37.507454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47941
32.0%
1.480453014 1730
 
1.2%
1.049793044 1342
 
0.9%
1.164401954 1342
 
0.9%
1.082760975 1291
 
0.9%
1.03324115 1049
 
0.7%
1.023762432 983
 
0.7%
1.017830633 878
 
0.6%
1.013872843 770
 
0.5%
1.011100838 670
 
0.4%
Other values (17134) 92004
61.3%
ValueCountFrequency (%)
0 47941
32.0%
1.000001439 1
 
< 0.1%
1.000001511 1
 
< 0.1%
1.000002153 1
 
< 0.1%
1.00000264 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1730
1.2%
1.477006428 1
 
< 0.1%
1.476362314 1
 
< 0.1%
1.475896175 1
 
< 0.1%
1.475322827 1
 
< 0.1%

voice_out_cmpttrs_avg_dumea_mnt3
Real number (ℝ)

ZEROS 

Distinct61521
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.73425049
Minimum0
Maximum61.31887679
Zeros25720
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:37.577972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.687248223
median19.75525126
Q325.94760612
95-th percentile34.86429711
Maximum61.31887679
Range61.31887679
Interquartile range (IQR)17.2603579

Descriptive statistics

Standard deviation11.37792193
Coefficient of variation (CV)0.6415789571
Kurtosis-0.8447516977
Mean17.73425049
Median Absolute Deviation (MAD)7.892710617
Skewness-0.1381583039
Sum2660137.573
Variance129.4571075
MonotonicityNot monotonic
2024-06-11T19:35:37.646933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25720
 
17.1%
4.210401996 5557
 
3.7%
6.749901739 3453
 
2.3%
8.687248223 2553
 
1.7%
10.26911687 1943
 
1.3%
11.61519305 1522
 
1.0%
12.79226812 1293
 
0.9%
13.84160798 1072
 
0.7%
14.79061749 927
 
0.6%
15.65849494 738
 
0.5%
Other values (61511) 105222
70.1%
ValueCountFrequency (%)
0 25720
17.1%
4.210401996 5557
 
3.7%
4.320255937 1
 
< 0.1%
4.333883332 1
 
< 0.1%
4.374628008 1
 
< 0.1%
ValueCountFrequency (%)
61.31887679 1
< 0.1%
61.27546826 1
< 0.1%
58.61443212 1
< 0.1%
58.32981222 1
< 0.1%
57.70959797 1
< 0.1%

voice_mts_out_drest_partmax_mnt3
Real number (ℝ)

ZEROS 

Distinct16652
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9848036437
Minimum0
Maximum1.480453014
Zeros24952
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:37.715996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.03324115
median1.109797552
Q31.220903412
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1876622614

Descriptive statistics

Standard deviation0.4587569915
Coefficient of variation (CV)0.4658360014
Kurtosis0.7090415042
Mean0.9848036437
Median Absolute Deviation (MAD)0.09139535207
Skewness-1.4540752
Sum147720.5465
Variance0.2104579772
MonotonicityNot monotonic
2024-06-11T19:35:37.877070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24952
 
16.6%
1.480453014 12637
 
8.4%
1.164401954 3611
 
2.4%
1.082760975 2123
 
1.4%
1.260942818 1967
 
1.3%
1.049793044 1146
 
0.8%
1.31316983 1112
 
0.7%
1.113213566 1096
 
0.7%
1.220903412 971
 
0.6%
1.127217016 760
 
0.5%
Other values (16642) 99625
66.4%
ValueCountFrequency (%)
0 24952
16.6%
1.000004073 1
 
< 0.1%
1.000005039 1
 
< 0.1%
1.000005107 1
 
< 0.1%
1.000005602 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 12637
8.4%
1.476863647 1
 
< 0.1%
1.47649469 1
 
< 0.1%
1.476150728 1
 
< 0.1%
1.476069097 1
 
< 0.1%

voice_in_short_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct570
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03814959476
Minimum0
Maximum1.480453014
Zeros144286
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:37.947224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1917154892
Coefficient of variation (CV)5.025361093
Kurtosis21.30641083
Mean0.03814959476
Median Absolute Deviation (MAD)0
Skewness4.827130791
Sum5722.439214
Variance0.0367548288
MonotonicityNot monotonic
2024-06-11T19:35:38.020505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144286
96.2%
1.000302473 75
 
0.1%
1.000528518 70
 
< 0.1%
1.000443246 70
 
< 0.1%
1.000349396 70
 
< 0.1%
1.000324667 66
 
< 0.1%
1.000392144 66
 
< 0.1%
1.00029222 65
 
< 0.1%
1.000273218 65
 
< 0.1%
1.000175436 65
 
< 0.1%
Other values (560) 5102
 
3.4%
ValueCountFrequency (%)
0 144286
96.2%
1.000005993 1
 
< 0.1%
1.000009211 1
 
< 0.1%
1.000011223 1
 
< 0.1%
1.000012268 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
 
< 0.1%
1.248992184 1
 
< 0.1%
1.220903412 1
 
< 0.1%
1.199172178 1
 
< 0.1%
1.164401954 3
< 0.1%

voice_mts_out_drest_partmea_mnt3
Real number (ℝ)

ZEROS 

Distinct113402
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8537217725
Minimum0
Maximum1.333679569
Zeros24952
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.093805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001416029
median1.014028767
Q31.031501623
95-th percentile1.061509751
Maximum1.333679569
Range1.333679569
Interquartile range (IQR)0.03008559396

Descriptive statistics

Standard deviation0.3818800139
Coefficient of variation (CV)0.4473120239
Kurtosis1.191968989
Mean0.8537217725
Median Absolute Deviation (MAD)0.0137555492
Skewness-1.780695948
Sum128058.2659
Variance0.145832345
MonotonicityNot monotonic
2024-06-11T19:35:38.168207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24952
 
16.6%
1.006406835 1912
 
1.3%
1.001666435 464
 
0.3%
1.023762432 342
 
0.2%
1.000750704 312
 
0.2%
1.000425155 208
 
0.1%
1.002923264 188
 
0.1%
1.000273218 186
 
0.1%
1.013872843 159
 
0.1%
1.000190256 156
 
0.1%
Other values (113392) 121121
80.7%
ValueCountFrequency (%)
0 24952
16.6%
1.000000028 1
 
< 0.1%
1.000000035 1
 
< 0.1%
1.000000036 1
 
< 0.1%
1.000000039 1
 
< 0.1%
ValueCountFrequency (%)
1.333679569 1
< 0.1%
1.328890719 1
< 0.1%
1.328397182 1
< 0.1%
1.284249264 1
< 0.1%
1.281167261 1
< 0.1%

voice_mts_in_drest_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct41322
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2863602606
Minimum0
Maximum1.069453665
Zeros107163
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.241605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000044102
95-th percentile1.004953552
Maximum1.069453665
Range1.069453665
Interquartile range (IQR)1.000044102

Descriptive statistics

Standard deviation0.4529319667
Coefficient of variation (CV)1.581685831
Kurtosis-1.098305486
Mean0.2863602606
Median Absolute Deviation (MAD)0
Skewness0.9495118522
Sum42954.03909
Variance0.2051473665
MonotonicityNot monotonic
2024-06-11T19:35:38.313329image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107163
71.4%
1.002631002 11
 
< 0.1%
1.001975959 9
 
< 0.1%
1.001811321 8
 
< 0.1%
1.00238048 7
 
< 0.1%
1.000462517 7
 
< 0.1%
1.000711195 7
 
< 0.1%
1.000528518 6
 
< 0.1%
1.000452728 6
 
< 0.1%
1.002164112 6
 
< 0.1%
Other values (41312) 42770
 
28.5%
ValueCountFrequency (%)
0 107163
71.4%
1.000000001 1
 
< 0.1%
1.000000006 1
 
< 0.1%
1.000000008 1
 
< 0.1%
1.000000008 1
 
< 0.1%
ValueCountFrequency (%)
1.069453665 1
< 0.1%
1.061633353 1
< 0.1%
1.059763302 1
< 0.1%
1.058159138 1
< 0.1%
1.057396838 1
< 0.1%

sms_out_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct748
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6046479811
Minimum0
Maximum64.39839935
Zeros90768
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.380373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.023762432
95-th percentile1.839588705
Maximum64.39839935
Range64.39839935
Interquartile range (IQR)1.023762432

Descriptive statistics

Standard deviation1.320670467
Coefficient of variation (CV)2.184197265
Kurtosis149.0851297
Mean0.6046479811
Median Absolute Deviation (MAD)0
Skewness8.720433908
Sum90697.19716
Variance1.744170481
MonotonicityNot monotonic
2024-06-11T19:35:38.452302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90768
60.5%
1.006406835 16669
 
11.1%
1.023762432 9357
 
6.2%
1.049793044 5574
 
3.7%
1.082760975 4130
 
2.8%
1.121317553 2779
 
1.9%
1.164401954 2326
 
1.6%
1.211169962 1800
 
1.2%
1.260942818 1488
 
1.0%
1.31316983 1130
 
0.8%
Other values (738) 13979
 
9.3%
ValueCountFrequency (%)
0 90768
60.5%
1.006406835 16669
 
11.1%
1.00757098 106
 
0.1%
1.00908403 93
 
0.1%
1.011100838 99
 
0.1%
ValueCountFrequency (%)
64.39839935 1
< 0.1%
41.0314798 1
< 0.1%
37.09845217 1
< 0.1%
36.7961843 1
< 0.1%
35.61075072 1
< 0.1%

voice_mts_out_dwork_partmax_mnt3
Real number (ℝ)

ZEROS 

Distinct16100
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.179333626
Minimum0
Maximum1.480453014
Zeros18920
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.522193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.204290552
median1.348056276
Q31.463101255
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.2588107034

Descriptive statistics

Standard deviation0.4639577457
Coefficient of variation (CV)0.3934066965
Kurtosis2.327016276
Mean1.179333626
Median Absolute Deviation (MAD)0.1290458801
Skewness-1.971367052
Sum176900.0438
Variance0.2152567898
MonotonicityNot monotonic
2024-06-11T19:35:38.593272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 35249
23.5%
0 18920
 
12.6%
1.260942818 1349
 
0.9%
1.31316983 1276
 
0.9%
1.345493163 1262
 
0.8%
1.164401954 1256
 
0.8%
1.367400612 1069
 
0.7%
1.383209542 868
 
0.6%
1.395148847 755
 
0.5%
1.404481711 677
 
0.5%
Other values (16090) 87319
58.2%
ValueCountFrequency (%)
0 18920
12.6%
1.000003883 1
 
< 0.1%
1.000004695 1
 
< 0.1%
1.000005737 1
 
< 0.1%
1.00000582 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 35249
23.5%
1.479096856 1
 
< 0.1%
1.478648465 1
 
< 0.1%
1.478253322 1
 
< 0.1%
1.478203347 1
 
< 0.1%

ks_num_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct95188
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8694717111
Minimum0
Maximum1.190780728
Zeros21882
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.664543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001553648
median1.005970307
Q31.016623556
95-th percentile1.070648049
Maximum1.190780728
Range1.190780728
Interquartile range (IQR)0.01506990797

Descriptive statistics

Standard deviation0.3601587323
Coefficient of variation (CV)0.4142270849
Kurtosis1.986323734
Mean0.8694717111
Median Absolute Deviation (MAD)0.005496976727
Skewness-1.986053146
Sum130420.7567
Variance0.1297143125
MonotonicityNot monotonic
2024-06-11T19:35:38.737300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21882
 
14.6%
1.064320397 1368
 
0.9%
1.01817803 1240
 
0.8%
1.008440556 1110
 
0.7%
1.00485579 943
 
0.6%
1.003150561 733
 
0.5%
1.002208149 705
 
0.5%
1.001633101 576
 
0.4%
1.001256603 505
 
0.3%
1.00099675 451
 
0.3%
Other values (95178) 120487
80.3%
ValueCountFrequency (%)
0 21882
14.6%
1.000008342 1
 
< 0.1%
1.00001235 1
 
< 0.1%
1.000014758 1
 
< 0.1%
1.000019637 2
 
< 0.1%
ValueCountFrequency (%)
1.190780728 12
 
< 0.1%
1.183371724 6
 
< 0.1%
1.182853558 1
 
< 0.1%
1.179212803 1
 
< 0.1%
1.176549816 47
< 0.1%

pay_avg_max_mnt3
Real number (ℝ)

ZEROS 

Distinct2659
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.45067425
Minimum0
Maximum72.49599656
Zeros25969
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.805292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.28987309
median24.76754894
Q328.02437138
95-th percentile33.57110757
Maximum72.49599656
Range72.49599656
Interquartile range (IQR)8.734498291

Descriptive statistics

Standard deviation11.27798569
Coefficient of variation (CV)0.5257636921
Kurtosis0.1931865486
Mean21.45067425
Median Absolute Deviation (MAD)3.540879358
Skewness-0.8015450007
Sum3217601.137
Variance127.1929613
MonotonicityNot monotonic
2024-06-11T19:35:38.876327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25969
17.3%
26.17309696 14182
 
9.5%
29.12504295 11016
 
7.3%
22.29933738 9943
 
6.6%
23.99960696 9024
 
6.0%
24.76754894 7844
 
5.2%
24.38962268 6154
 
4.1%
31.96388736 4902
 
3.3%
25.49022445 4865
 
3.2%
33.57110757 4225
 
2.8%
Other values (2649) 51876
34.6%
ValueCountFrequency (%)
0 25969
17.3%
1.00908403 2
 
< 0.1%
1.046272906 1
 
< 0.1%
1.053412628 1
 
< 0.1%
1.060939898 1
 
< 0.1%
ValueCountFrequency (%)
72.49599656 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%
65.37213434 1
< 0.1%

sms_clc_max_mnt3
Real number (ℝ)

ZEROS 

Distinct939
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7835837654
Minimum0
Maximum54.62828604
Zeros100124
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:38.944008image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.604702487
95-th percentile3.280879999
Maximum54.62828604
Range54.62828604
Interquartile range (IQR)1.604702487

Descriptive statistics

Standard deviation1.50891121
Coefficient of variation (CV)1.925653998
Kurtosis63.00240415
Mean0.7835837654
Median Absolute Deviation (MAD)0
Skewness5.134676187
Sum117537.5648
Variance2.276813041
MonotonicityNot monotonic
2024-06-11T19:35:39.010379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100124
66.7%
1.604773951 18285
 
12.2%
1.604273725 10325
 
6.9%
2.46360592 3944
 
2.6%
2.463172916 3456
 
2.3%
2.462595556 2609
 
1.7%
3.281747174 1340
 
0.9%
3.280346311 943
 
0.6%
4.0319091 876
 
0.6%
4.032641655 623
 
0.4%
Other values (929) 7475
 
5.0%
ValueCountFrequency (%)
0 100124
66.7%
1.018881881 1
 
< 0.1%
1.020764909 1
 
< 0.1%
1.021015075 1
 
< 0.1%
1.021216128 434
 
0.3%
ValueCountFrequency (%)
54.62828604 1
< 0.1%
44.66155175 1
< 0.1%
35.77118338 1
< 0.1%
34.64393425 1
< 0.1%
31.81097838 1
< 0.1%

sms_clc_td_mnt3
Real number (ℝ)

ZEROS 

Distinct5327
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03099937416
Minimum-10.2436258
Maximum23.27017845
Zeros100298
Zeros (%)66.9%
Negative22579
Negative (%)15.1%
Memory size1.1 MiB
2024-06-11T19:35:39.077275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-10.2436258
5-th percentile-1.002321305
Q10
median0
Q30
95-th percentile1.003134764
Maximum23.27017845
Range33.51380424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5925496767
Coefficient of variation (CV)19.1148916
Kurtosis18.82090345
Mean0.03099937416
Median Absolute Deviation (MAD)0
Skewness0.3914594683
Sum4649.906125
Variance0.3511151193
MonotonicityNot monotonic
2024-06-11T19:35:39.146423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100298
66.9%
1.000805781 1367
 
0.9%
1.001958276 1318
 
0.9%
1.00041444 1318
 
0.9%
1.001321381 1314
 
0.9%
1.000150414 1195
 
0.8%
-1.001958276 1161
 
0.8%
1.00001685 1142
 
0.8%
-1.000805781 1050
 
0.7%
-1.001321381 1001
 
0.7%
Other values (5317) 38836
 
25.9%
ValueCountFrequency (%)
-10.2436258 1
< 0.1%
-9.600875483 1
< 0.1%
-9.313563386 1
< 0.1%
-6.413656546 1
< 0.1%
-6.32573134 1
< 0.1%
ValueCountFrequency (%)
23.27017845 1
< 0.1%
8.968920206 1
< 0.1%
8.443356553 1
< 0.1%
7.119311978 1
< 0.1%
6.480609023 1
< 0.1%

voice_mts_out_drest_partmax_mnt1
Real number (ℝ)

ZEROS 

Distinct16393
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8229305469
Minimum0
Maximum1.480453014
Zeros38438
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:39.302661image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.039135025
Q31.104514775
95-th percentile1.338632685
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.104514775

Descriptive statistics

Standard deviation0.4932743793
Coefficient of variation (CV)0.5994119202
Kurtosis-0.7990774654
Mean0.8229305469
Median Absolute Deviation (MAD)0.06808857621
Skewness-0.9604160205
Sum123439.582
Variance0.2433196133
MonotonicityNot monotonic
2024-06-11T19:35:39.369597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38438
 
25.6%
1.480453014 4324
 
2.9%
1.164401954 2265
 
1.5%
1.082760975 1973
 
1.3%
1.049793044 1578
 
1.1%
1.03324115 1158
 
0.8%
1.260942818 904
 
0.6%
1.023762432 881
 
0.6%
1.113213566 865
 
0.6%
1.063158942 753
 
0.5%
Other values (16383) 96861
64.6%
ValueCountFrequency (%)
0 38438
25.6%
1.000002334 1
 
< 0.1%
1.000002378 1
 
< 0.1%
1.000003992 1
 
< 0.1%
1.000004073 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 4324
2.9%
1.476863647 1
 
< 0.1%
1.476150728 1
 
< 0.1%
1.476041193 1
 
< 0.1%
1.475676359 1
 
< 0.1%

num_act_days_std_mnt1
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5656725095
Minimum0
Maximum3.616934243
Zeros96635
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:39.435592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.207704776
95-th percentile2.128446161
Maximum3.616934243
Range3.616934243
Interquartile range (IQR)1.207704776

Descriptive statistics

Standard deviation0.8174126717
Coefficient of variation (CV)1.4450281
Kurtosis0.08040871514
Mean0.5656725095
Median Absolute Deviation (MAD)0
Skewness1.10081629
Sum84850.87642
Variance0.6681634759
MonotonicityNot monotonic
2024-06-11T19:35:39.506396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96635
64.4%
1.164401954 15530
 
10.4%
1.45108808 5477
 
3.7%
1.207704776 5288
 
3.5%
1.480453014 3825
 
2.5%
1.839588705 2803
 
1.9%
1.356301179 2740
 
1.8%
1.7768194 2023
 
1.3%
1.663597369 1851
 
1.2%
1.687217756 1728
 
1.2%
Other values (43) 12100
 
8.1%
ValueCountFrequency (%)
0 96635
64.4%
1.164401954 15530
 
10.4%
1.207704776 5288
 
3.5%
1.356301179 2740
 
1.8%
1.45108808 5477
 
3.7%
ValueCountFrequency (%)
3.616934243 44
 
< 0.1%
3.44414651 110
0.1%
3.301619787 111
0.1%
3.270189893 41
 
< 0.1%
3.262248815 118
0.1%

all_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct720
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.34306655
Minimum0
Maximum108.94848
Zeros14910
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:39.578976image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.964623589
median14.79061749
Q320.52615232
95-th percentile27.73390474
Maximum108.94848
Range108.94848
Interquartile range (IQR)12.56152873

Descriptive statistics

Standard deviation8.630882292
Coefficient of variation (CV)0.6017459559
Kurtosis0.5524150975
Mean14.34306655
Median Absolute Deviation (MAD)6.15371783
Skewness0.1717721844
Sum2151459.983
Variance74.49212914
MonotonicityNot monotonic
2024-06-11T19:35:39.650946image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14910
 
9.9%
1.480453014 2156
 
1.4%
2.921812056 1984
 
1.3%
6.749901739 1834
 
1.2%
4.786566308 1788
 
1.2%
7.964623589 1772
 
1.2%
5.324077125 1762
 
1.2%
3.590290394 1759
 
1.2%
2.206948961 1754
 
1.2%
6.30189811 1724
 
1.1%
Other values (710) 118557
79.0%
ValueCountFrequency (%)
0 14910
9.9%
1.480453014 2156
 
1.4%
2.206948961 1754
 
1.2%
2.921812056 1984
 
1.3%
3.590290394 1759
 
1.2%
ValueCountFrequency (%)
108.94848 1
< 0.1%
96.66426997 1
< 0.1%
94.77430364 1
< 0.1%
92.66700602 1
< 0.1%
92.00480992 1
< 0.1%

voice_in_mts_avg_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct130111
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.71675614
Minimum0
Maximum61.14564219
Zeros14026
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:39.718924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.30876576
median16.38954501
Q322.98542286
95-th percentile33.3036715
Maximum61.14564219
Range61.14564219
Interquartile range (IQR)12.6766571

Descriptive statistics

Standard deviation9.603279927
Coefficient of variation (CV)0.5744703008
Kurtosis-0.2260250008
Mean16.71675614
Median Absolute Deviation (MAD)6.32344332
Skewness0.2122220249
Sum2507513.42
Variance92.22298535
MonotonicityNot monotonic
2024-06-11T19:35:39.790887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14026
 
9.4%
6.5289656 83
 
0.1%
7.174761058 78
 
0.1%
7.578965206 75
 
0.1%
5.579883184 72
 
< 0.1%
5.059834182 70
 
< 0.1%
4.503643389 67
 
< 0.1%
4.786566308 67
 
< 0.1%
4.210401996 66
 
< 0.1%
6.068314762 66
 
< 0.1%
Other values (130101) 135330
90.2%
ValueCountFrequency (%)
0 14026
9.4%
1.014476436 1
 
< 0.1%
1.062738524 1
 
< 0.1%
1.068340156 1
 
< 0.1%
1.076259917 1
 
< 0.1%
ValueCountFrequency (%)
61.14564219 1
< 0.1%
59.51354873 1
< 0.1%
54.35249558 1
< 0.1%
53.7652233 1
< 0.1%
53.67669786 1
< 0.1%

all_roam_clc_max_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct54
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04193614602
Minimum0
Maximum49.21088785
Zeros149643
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:39.862517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum49.21088785
Range49.21088785
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9260423994
Coefficient of variation (CV)22.08220085
Kurtosis779.4016715
Mean0.04193614602
Median Absolute Deviation (MAD)0
Skewness25.87050799
Sum6290.421903
Variance0.8575545254
MonotonicityNot monotonic
2024-06-11T19:35:39.935313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149643
99.8%
14.64753823 77
 
0.1%
12.21033147 59
 
< 0.1%
14.64753823 36
 
< 0.1%
7.485597097 25
 
< 0.1%
15.9956774 21
 
< 0.1%
20.13969538 18
 
< 0.1%
26.62102185 17
 
< 0.1%
17.18935823 15
 
< 0.1%
20.13960725 14
 
< 0.1%
Other values (44) 75
 
0.1%
ValueCountFrequency (%)
0 149643
99.8%
7.485597097 25
 
< 0.1%
11.23918336 1
 
< 0.1%
12.21033147 59
 
< 0.1%
14.64753823 77
 
0.1%
ValueCountFrequency (%)
49.21088785 1
< 0.1%
47.37626961 1
< 0.1%
46.34214432 1
< 0.1%
42.91242161 1
< 0.1%
40.81550004 1
< 0.1%

voice_out_td_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct5706
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.192481294
Minimum-17.43665395
Maximum20.11487158
Zeros11957
Zeros (%)8.0%
Negative63545
Negative (%)42.4%
Memory size1.1 MiB
2024-06-11T19:35:40.003423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-17.43665395
5-th percentile-2.701344362
Q1-1.145831654
median0
Q31.325521436
95-th percentile3.297240428
Maximum20.11487158
Range37.55152554
Interquartile range (IQR)2.471353089

Descriptive statistics

Standard deviation1.973381691
Coefficient of variation (CV)10.25232972
Kurtosis1.697354875
Mean0.192481294
Median Absolute Deviation (MAD)1.227916711
Skewness0.09809997406
Sum28872.1941
Variance3.894235298
MonotonicityNot monotonic
2024-06-11T19:35:40.073000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11957
 
8.0%
-1.001424332 582
 
0.4%
1.00095998 525
 
0.4%
1.001424332 520
 
0.3%
-1.00095998 487
 
0.3%
1.000108887 465
 
0.3%
1.000300379 461
 
0.3%
1.000012183 431
 
0.3%
-1.000012183 425
 
0.3%
-1.000584711 423
 
0.3%
Other values (5696) 133724
89.1%
ValueCountFrequency (%)
-17.43665395 1
< 0.1%
-15.01240465 1
< 0.1%
-14.88832236 1
< 0.1%
-14.57294648 1
< 0.1%
-12.85712064 1
< 0.1%
ValueCountFrequency (%)
20.11487158 1
< 0.1%
15.63051942 1
< 0.1%
13.00071636 1
< 0.1%
12.98705923 1
< 0.1%
12.58794377 1
< 0.1%

sms_clc_mea_wk1
Real number (ℝ)

ZEROS 

Distinct295
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1544693001
Minimum0
Maximum52.26767254
Zeros139667
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:40.142762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.604273725
Maximum52.26767254
Range52.26767254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7137036391
Coefficient of variation (CV)4.620359117
Kurtosis373.484337
Mean0.1544693001
Median Absolute Deviation (MAD)0
Skewness11.86471941
Sum23170.39502
Variance0.5093728844
MonotonicityNot monotonic
2024-06-11T19:35:40.214658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139667
93.1%
1.604773951 3711
 
2.5%
1.604273725 2658
 
1.8%
2.46360592 746
 
0.5%
2.462595556 556
 
0.4%
2.463172916 478
 
0.3%
3.281747174 266
 
0.2%
3.280346311 242
 
0.2%
4.032641655 142
 
0.1%
4.0319091 117
 
0.1%
Other values (285) 1417
 
0.9%
ValueCountFrequency (%)
0 139667
93.1%
1.003494891 1
 
< 0.1%
1.021216128 117
 
0.1%
1.039704791 1
 
< 0.1%
1.043564051 1
 
< 0.1%
ValueCountFrequency (%)
52.26767254 1
< 0.1%
31.18622339 1
< 0.1%
28.02109103 1
< 0.1%
27.8852267 1
< 0.1%
24.57454216 1
< 0.1%

sms_roam_clc_std_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:40.269431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:40.316023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_cmpttrs_td_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.560896511
Minimum0
Maximum36.47199877
Zeros92578
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:40.376088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.206948961
95-th percentile7.578965206
Maximum36.47199877
Range36.47199877
Interquartile range (IQR)2.206948961

Descriptive statistics

Standard deviation2.758054904
Coefficient of variation (CV)1.766968459
Kurtosis7.718643484
Mean1.560896511
Median Absolute Deviation (MAD)0
Skewness2.479291675
Sum234134.4767
Variance7.606866852
MonotonicityNot monotonic
2024-06-11T19:35:40.446073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92578
61.7%
1.480453014 15929
 
10.6%
2.206948961 9013
 
6.0%
2.921812056 6077
 
4.1%
3.590290394 4527
 
3.0%
4.210401996 3442
 
2.3%
4.786566308 2766
 
1.8%
5.324077125 2154
 
1.4%
5.827795843 1808
 
1.2%
6.30189811 1514
 
1.0%
Other values (112) 10192
 
6.8%
ValueCountFrequency (%)
0 92578
61.7%
1.480453014 15929
 
10.6%
2.206948961 9013
 
6.0%
2.921812056 6077
 
4.1%
3.590290394 4527
 
3.0%
ValueCountFrequency (%)
36.47199877 1
< 0.1%
30.57270657 1
< 0.1%
29.38626447 1
< 0.1%
28.75032958 1
< 0.1%
28.58637616 1
< 0.1%

clc_no_vas_roam_mea_wk1
Real number (ℝ)

ZEROS 

Distinct5756
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.087603149
Minimum0
Maximum58.08223852
Zeros121654
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:40.514396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23.16295481
Maximum58.08223852
Range58.08223852
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.603336718
Coefficient of variation (CV)2.46253691
Kurtosis4.765949187
Mean3.087603149
Median Absolute Deviation (MAD)0
Skewness2.431373419
Sum463140.4723
Variance57.81072925
MonotonicityNot monotonic
2024-06-11T19:35:40.670823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 121654
81.1%
21.74906374 2007
 
1.3%
29.33036315 1398
 
0.9%
22.47711246 857
 
0.6%
22.11876484 855
 
0.6%
20.13969538 836
 
0.6%
25.57253549 819
 
0.5%
23.16295481 699
 
0.5%
20.13960725 658
 
0.4%
24.1232528 514
 
0.3%
Other values (5746) 19703
 
13.1%
ValueCountFrequency (%)
0 121654
81.1%
1.00000001 463
 
0.3%
1.00000004 100
 
0.1%
1.00000009 20
 
< 0.1%
1.00000016 9
 
< 0.1%
ValueCountFrequency (%)
58.08223852 2
< 0.1%
56.55981782 1
< 0.1%
54.08682096 1
< 0.1%
52.82735477 2
< 0.1%
52.70029596 1
< 0.1%

voice_mts_out_drest_partmea_wk1
Real number (ℝ)

ZEROS 

Distinct14465
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6093277001
Minimum0
Maximum1.480453014
Zeros63164
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:40.739690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.002066827
Q31.029113067
95-th percentile1.151271061
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.029113067

Descriptive statistics

Standard deviation0.5235655299
Coefficient of variation (CV)0.8592511546
Kurtosis-1.836553812
Mean0.6093277001
Median Absolute Deviation (MAD)0.1024883533
Skewness-0.2677047161
Sum91399.15502
Variance0.2741208641
MonotonicityNot monotonic
2024-06-11T19:35:40.811238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63164
42.1%
1.480453014 1198
 
0.8%
1.049793044 886
 
0.6%
1.082760975 870
 
0.6%
1.03324115 823
 
0.5%
1.164401954 798
 
0.5%
1.023762432 753
 
0.5%
1.017830633 706
 
0.5%
1.013872843 687
 
0.5%
1.011100838 601
 
0.4%
Other values (14455) 79514
53.0%
ValueCountFrequency (%)
0 63164
42.1%
1.000000669 1
 
< 0.1%
1.000001794 1
 
< 0.1%
1.000003229 1
 
< 0.1%
1.000003336 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1198
0.8%
1.472212248 1
 
< 0.1%
1.471907461 1
 
< 0.1%
1.471800793 1
 
< 0.1%
1.47122485 1
 
< 0.1%

voice_in_cmpttrs_td_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct1533
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.07053219
Minimum0
Maximum39.37487143
Zeros19216
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:40.883426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.082760975
median1.900753899
Q34.210401996
95-th percentile9.539633441
Maximum39.37487143
Range39.37487143
Interquartile range (IQR)3.127641021

Descriptive statistics

Standard deviation3.100659233
Coefficient of variation (CV)1.009811668
Kurtosis4.525345578
Mean3.07053219
Median Absolute Deviation (MAD)0.9631289575
Skewness1.856707617
Sum460579.8285
Variance9.61408768
MonotonicityNot monotonic
2024-06-11T19:35:40.956004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19216
 
12.8%
1.006406835 6919
 
4.6%
1.023762432 5456
 
3.6%
1.049793044 4266
 
2.8%
1.082760975 3890
 
2.6%
1.121317553 3432
 
2.3%
1.164401954 3203
 
2.1%
1.211169962 2923
 
1.9%
1.260942818 2828
 
1.9%
1.31316983 2544
 
1.7%
Other values (1523) 95323
63.5%
ValueCountFrequency (%)
0 19216
12.8%
1.006406835 6919
 
4.6%
1.00757098 64
 
< 0.1%
1.00908403 51
 
< 0.1%
1.011100838 77
 
0.1%
ValueCountFrequency (%)
39.37487143 1
< 0.1%
31.60381062 1
< 0.1%
31.34220261 1
< 0.1%
30.0075985 1
< 0.1%
29.12943964 1
< 0.1%

voice_out_cmpttrs_avg_dumea_wk1
Real number (ℝ)

ZEROS 

Distinct4295
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.78335834
Minimum0
Maximum79.88948317
Zeros69911
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:41.027307image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.89928393
Q323.99960696
95-th percentile37.51341156
Maximum79.88948317
Range79.88948317
Interquartile range (IQR)23.99960696

Descriptive statistics

Standard deviation14.1406854
Coefficient of variation (CV)1.025924528
Kurtosis-0.7695294752
Mean13.78335834
Median Absolute Deviation (MAD)17.89928393
Skewness0.4749657523
Sum2067503.752
Variance199.9589836
MonotonicityNot monotonic
2024-06-11T19:35:41.102978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69911
46.6%
17.89928393 16006
 
10.7%
23.99960696 5537
 
3.7%
21.34785349 3043
 
2.0%
28.02437138 2624
 
1.7%
20.31118337 1853
 
1.2%
31.0829974 1504
 
1.0%
22.29933738 1308
 
0.9%
26.17309696 1189
 
0.8%
19.75525126 1158
 
0.8%
Other values (4285) 45867
30.6%
ValueCountFrequency (%)
0 69911
46.6%
17.89928393 16006
 
10.7%
17.97905944 1
 
< 0.1%
18.02491422 1
 
< 0.1%
18.03323823 1
 
< 0.1%
ValueCountFrequency (%)
79.88948317 1
< 0.1%
77.7015284 1
< 0.1%
75.42725558 1
< 0.1%
74.08344565 1
< 0.1%
73.98380327 1
< 0.1%

accum_oth_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1918
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5803079699
Minimum-1
Maximum1.007060806
Zeros62946
Zeros (%)42.0%
Negative5
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:41.177268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1.000000033
Q31.000004656
95-th percentile1.000067017
Maximum1.007060806
Range2.007060806
Interquartile range (IQR)1.000004656

Descriptive statistics

Standard deviation0.4935925066
Coefficient of variation (CV)0.8505699253
Kurtosis-1.891352772
Mean0.5803079699
Median Absolute Deviation (MAD)3.940863373 × 10-5
Skewness-0.3262311955
Sum87046.19548
Variance0.2436335625
MonotonicityNot monotonic
2024-06-11T19:35:41.251130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62946
42.0%
1.000000004 4007
 
2.7%
1.000000014 3190
 
2.1%
1.000000032 2676
 
1.8%
1.000000058 2258
 
1.5%
1.00000009 1993
 
1.3%
1.00000013 1866
 
1.2%
1.000000176 1628
 
1.1%
1.00000023 1601
 
1.1%
1.000000291 1519
 
1.0%
Other values (1908) 66316
44.2%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 4
 
< 0.1%
0 62946
42.0%
1 1
 
< 0.1%
1 951
 
0.6%
ValueCountFrequency (%)
1.007060806 1
< 0.1%
1.005030262 1
< 0.1%
1.00454991 1
< 0.1%
1.003787978 1
< 0.1%
1.003154804 1
< 0.1%

sms_roam_clc_mea_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007725341441
Minimum0
Maximum15.34366946
Zeros149939
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:41.308663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15.34366946
Range15.34366946
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05266711312
Coefficient of variation (CV)68.17447944
Kurtosis48691.12547
Mean0.0007725341441
Median Absolute Deviation (MAD)0
Skewness181.0673527
Sum115.8801216
Variance0.002773824805
MonotonicityNot monotonic
2024-06-11T19:35:41.363088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 149939
> 99.9%
1.46689156 46
 
< 0.1%
2.17821011 9
 
< 0.1%
2.880954379 3
 
< 0.1%
3.539646722 1
 
< 0.1%
1.273039522 1
 
< 0.1%
15.34366946 1
 
< 0.1%
ValueCountFrequency (%)
0 149939
> 99.9%
1.273039522 1
 
< 0.1%
1.46689156 46
 
< 0.1%
2.17821011 9
 
< 0.1%
2.880954379 3
 
< 0.1%
ValueCountFrequency (%)
15.34366946 1
 
< 0.1%
3.539646722 1
 
< 0.1%
2.880954379 3
 
< 0.1%
2.17821011 9
 
< 0.1%
1.46689156 46
< 0.1%

gprs_tar_vol_std_mnt3
Real number (ℝ)

ZEROS 

Distinct94941
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.6153729
Minimum0
Maximum283.615117
Zeros43991
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:41.426899image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27.01235153
Q388.51215014
95-th percentile164.7831131
Maximum283.615117
Range283.615117
Interquartile range (IQR)88.51215014

Descriptive statistics

Standard deviation56.90908763
Coefficient of variation (CV)1.147005138
Kurtosis-0.08632679625
Mean49.6153729
Median Absolute Deviation (MAD)27.01235153
Skewness1.032632049
Sum7442305.936
Variance3238.644254
MonotonicityNot monotonic
2024-06-11T19:35:41.492986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43991
29.3%
1.064320397 803
 
0.5%
12.53805583 504
 
0.3%
1.207704776 422
 
0.3%
12.53805583 342
 
0.2%
1.38913981 251
 
0.2%
1.589289213 219
 
0.1%
1.10808554 190
 
0.1%
1.139222859 134
 
0.1%
2.010130606 125
 
0.1%
Other values (94931) 103019
68.7%
ValueCountFrequency (%)
0 43991
29.3%
1.000211786 8
 
< 0.1%
1.000245348 2
 
< 0.1%
1.000272113 1
 
< 0.1%
1.000281337 1
 
< 0.1%
ValueCountFrequency (%)
283.615117 1
< 0.1%
281.3399138 1
< 0.1%
280.9714942 1
< 0.1%
279.0628592 1
< 0.1%
278.5878154 1
< 0.1%

voice_out_tar_dur_min_mnt3
Real number (ℝ)

ZEROS 

Distinct625
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.74445074
Minimum0
Maximum136.8379621
Zeros65111
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:41.557658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28.02437138
Q359.95669564
95-th percentile83.28654681
Maximum136.8379621
Range136.8379621
Interquartile range (IQR)59.95669564

Descriptive statistics

Standard deviation31.6450261
Coefficient of variation (CV)0.9968679676
Kurtosis-1.341752314
Mean31.74445074
Median Absolute Deviation (MAD)28.02437138
Skewness0.3432832818
Sum4761667.612
Variance1001.407677
MonotonicityNot monotonic
2024-06-11T19:35:41.628850image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65111
43.4%
17.89928393 4177
 
2.8%
23.99960696 3100
 
2.1%
28.02437138 2648
 
1.8%
31.0829974 2283
 
1.5%
33.57110757 2084
 
1.4%
35.67888361 1930
 
1.3%
37.51341156 1729
 
1.2%
39.14133654 1655
 
1.1%
40.60712622 1605
 
1.1%
Other values (615) 63678
42.5%
ValueCountFrequency (%)
0 65111
43.4%
17.89928393 4177
 
2.8%
23.99960696 3100
 
2.1%
28.02437138 2648
 
1.8%
31.0829974 2283
 
1.5%
ValueCountFrequency (%)
136.8379621 1
< 0.1%
132.8377963 1
< 0.1%
131.9850822 1
< 0.1%
131.9262091 1
< 0.1%
127.9922009 1
< 0.1%

all_roam_clc_std_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02301558241
Minimum0
Maximum33.38539686
Zeros149643
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:41.699171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33.38539686
Range33.38539686
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.533142944
Coefficient of variation (CV)23.16443418
Kurtosis1085.379207
Mean0.02301558241
Median Absolute Deviation (MAD)0
Skewness29.64706994
Sum3452.337362
Variance0.2842413987
MonotonicityNot monotonic
2024-06-11T19:35:41.771700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149643
99.8%
7.306489335 97
 
0.1%
5.790808077 56
 
< 0.1%
3.192576594 24
 
< 0.1%
8.182257456 21
 
< 0.1%
11.00451042 13
 
< 0.1%
15.70535781 13
 
< 0.1%
11.00444862 11
 
< 0.1%
8.778501658 7
 
< 0.1%
8.976568503 7
 
< 0.1%
Other values (86) 108
 
0.1%
ValueCountFrequency (%)
0 149643
99.8%
3.192576594 24
 
< 0.1%
3.955242334 1
 
< 0.1%
5.485021532 1
 
< 0.1%
5.790808077 56
 
< 0.1%
ValueCountFrequency (%)
33.38539686 1
< 0.1%
31.99958521 1
< 0.1%
31.1854937 1
< 0.1%
30.4050111 1
< 0.1%
26.72487117 1
< 0.1%

voice_in_tar_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct15388
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.90110241
Minimum0
Maximum146.1091726
Zeros29237
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:41.842720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.9809118
median48.38910682
Q366.58801591
95-th percentile86.38649889
Maximum146.1091726
Range146.1091726
Interquartile range (IQR)46.60710411

Descriptive statistics

Standard deviation28.9806694
Coefficient of variation (CV)0.6601353453
Kurtosis-1.052911844
Mean43.90110241
Median Absolute Deviation (MAD)21.38046924
Skewness-0.189370574
Sum6585165.362
Variance839.8791989
MonotonicityNot monotonic
2024-06-11T19:35:42.009719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29237
 
19.5%
8.687248223 171
 
0.1%
9.027097853 158
 
0.1%
9.669720902 152
 
0.1%
11.61519305 149
 
0.1%
9.974411855 146
 
0.1%
8.333535892 143
 
0.1%
10.55454345 141
 
0.1%
10.26911687 140
 
0.1%
7.578965206 140
 
0.1%
Other values (15378) 119423
79.6%
ValueCountFrequency (%)
0 29237
19.5%
1.480453014 82
 
0.1%
2.206948961 46
 
< 0.1%
2.921812056 52
 
< 0.1%
3.590290394 47
 
< 0.1%
ValueCountFrequency (%)
146.1091726 1
< 0.1%
140.0165245 1
< 0.1%
137.3350374 1
< 0.1%
133.6607155 1
< 0.1%
132.6153713 1
< 0.1%

pay_avg_td_mnt3
Real number (ℝ)

ZEROS 

Distinct21072
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2062981569
Minimum-21.34785349
Maximum28.608584
Zeros28267
Zeros (%)18.8%
Negative56552
Negative (%)37.7%
Memory size1.1 MiB
2024-06-11T19:35:42.079337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-21.34785349
5-th percentile-4.544852612
Q1-1.701845217
median0
Q32.127446601
95-th percentile4.890858094
Maximum28.608584
Range49.95643749
Interquartile range (IQR)3.829291818

Descriptive statistics

Standard deviation3.089034874
Coefficient of variation (CV)14.97364261
Kurtosis2.771643251
Mean0.2062981569
Median Absolute Deviation (MAD)1.919170479
Skewness0.06412926762
Sum30944.72354
Variance9.54213645
MonotonicityNot monotonic
2024-06-11T19:35:42.147862image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28267
 
18.8%
1.514559429 1170
 
0.8%
2.278539342 1075
 
0.7%
-1.514559429 1026
 
0.7%
3.023078865 959
 
0.6%
-2.278539342 888
 
0.6%
-3.023078865 772
 
0.5%
2.022050194 728
 
0.5%
2.531813523 688
 
0.5%
1.281129869 686
 
0.5%
Other values (21062) 113741
75.8%
ValueCountFrequency (%)
-21.34785349 1
< 0.1%
-21.26435914 1
< 0.1%
-20.77400639 1
< 0.1%
-20.31118337 1
< 0.1%
-20.12953019 1
< 0.1%
ValueCountFrequency (%)
28.608584 1
< 0.1%
25.27233462 1
< 0.1%
25.10636017 1
< 0.1%
24.82467 1
< 0.1%
23.75603862 1
< 0.1%

voice_mts_out_dwork_partmax_mnt1
Real number (ℝ)

ZEROS 

Distinct17953
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.025827415
Minimum0
Maximum1.480453014
Zeros29717
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:42.211748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.041575207
median1.236714293
Q31.360379533
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.3188043261

Descriptive statistics

Standard deviation0.5248091016
Coefficient of variation (CV)0.5115959021
Kurtosis0.01609986025
Mean1.025827415
Median Absolute Deviation (MAD)0.147716603
Skewness-1.311342205
Sum153874.1122
Variance0.2754245931
MonotonicityNot monotonic
2024-06-11T19:35:42.280452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29717
 
19.8%
1.480453014 16004
 
10.7%
1.164401954 1893
 
1.3%
1.260942818 1736
 
1.2%
1.31316983 1353
 
0.9%
1.345493163 1111
 
0.7%
1.367400612 877
 
0.6%
1.082760975 767
 
0.5%
1.220903412 749
 
0.5%
1.383209542 673
 
0.4%
Other values (17943) 95120
63.4%
ValueCountFrequency (%)
0 29717
19.8%
1.000002097 1
 
< 0.1%
1.000002623 1
 
< 0.1%
1.000004695 1
 
< 0.1%
1.000005792 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 16004
10.7%
1.47883014 1
 
< 0.1%
1.478648465 1
 
< 0.1%
1.478203347 1
 
< 0.1%
1.477848285 1
 
< 0.1%

accum_oth_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct3057
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4247154006
Minimum-1
Maximum1.001448303
Zeros80227
Zeros (%)53.5%
Negative3033
Negative (%)2.0%
Memory size1.1 MiB
2024-06-11T19:35:42.349567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31.000000189
95-th percentile1.000008618
Maximum1.001448303
Range2.001448303
Interquartile range (IQR)1.000000189

Descriptive statistics

Standard deviation0.5336442589
Coefficient of variation (CV)1.256474943
Kurtosis-1.157165809
Mean0.4247154006
Median Absolute Deviation (MAD)0
Skewness-0.0969693864
Sum63707.31009
Variance0.2847761951
MonotonicityNot monotonic
2024-06-11T19:35:42.420260image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80227
53.5%
1 3186
 
2.1%
1.000000001 2380
 
1.6%
-1 1928
 
1.3%
1.000000002 1891
 
1.3%
1.000000004 1526
 
1.0%
1.000000006 1402
 
0.9%
1.000000008 1260
 
0.8%
1.000000011 1145
 
0.8%
1.000000014 1034
 
0.7%
Other values (3047) 54021
36.0%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 1
 
< 0.1%
-1 1
 
< 0.1%
-1 2
 
< 0.1%
-1 5
< 0.1%
ValueCountFrequency (%)
1.001448303 1
< 0.1%
1.001241634 1
< 0.1%
1.001146514 2
< 0.1%
1.000956467 1
< 0.1%
1.000852328 1
< 0.1%

ama_volume_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct1130
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03102666667
Minimum-1.000000003
Maximum1.00000001
Zeros145340
Zeros (%)96.9%
Negative3
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:42.489764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000000003
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.00000001
Range2.000000013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1735056579
Coefficient of variation (CV)5.592146257
Kurtosis27.22733263
Mean0.03102666667
Median Absolute Deviation (MAD)0
Skewness5.398032626
Sum4654.000001
Variance0.03010421332
MonotonicityNot monotonic
2024-06-11T19:35:42.563025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145340
96.9%
1 732
 
0.5%
1 446
 
0.3%
1 202
 
0.1%
1 199
 
0.1%
1 162
 
0.1%
1 161
 
0.1%
1 107
 
0.1%
1 100
 
0.1%
1 93
 
0.1%
Other values (1120) 2458
 
1.6%
ValueCountFrequency (%)
-1.000000003 1
 
< 0.1%
-1.000000001 1
 
< 0.1%
-1 1
 
< 0.1%
0 145340
96.9%
1 199
 
0.1%
ValueCountFrequency (%)
1.00000001 1
< 0.1%
1.000000008 1
< 0.1%
1.000000008 1
< 0.1%
1.000000006 1
< 0.1%
1.000000005 1
< 0.1%

voice_mts_out_dwork_partstd_mnt3
Real number (ℝ)

ZEROS 

Distinct122105
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9146014539
Minimum0
Maximum1.176549816
Zeros18921
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:42.633496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.011465552
median1.029944702
Q31.063973914
95-th percentile1.116343951
Maximum1.176549816
Range1.176549816
Interquartile range (IQR)0.05250836217

Descriptive statistics

Standard deviation0.3491396241
Coefficient of variation (CV)0.3817396338
Kurtosis2.967966439
Mean0.9146014539
Median Absolute Deviation (MAD)0.02307099686
Skewness-2.208629357
Sum137190.2181
Variance0.1218984771
MonotonicityNot monotonic
2024-06-11T19:35:42.701225image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18921
 
12.6%
1.064320397 2431
 
1.6%
1.10808554 769
 
0.5%
1.139222859 333
 
0.2%
1.01817803 244
 
0.2%
1.008440556 145
 
0.1%
1.073240924 136
 
0.1%
1.160290336 120
 
0.1%
1.030979552 115
 
0.1%
1.00485579 98
 
0.1%
Other values (122095) 126688
84.5%
ValueCountFrequency (%)
0 18921
12.6%
1.000000324 1
 
< 0.1%
1.000000392 1
 
< 0.1%
1.000000479 1
 
< 0.1%
1.000000486 1
 
< 0.1%
ValueCountFrequency (%)
1.176549816 34
< 0.1%
1.175842003 1
 
< 0.1%
1.175247524 1
 
< 0.1%
1.174887392 1
 
< 0.1%
1.1744527 1
 
< 0.1%

voice_mts_in_drest_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct62424
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4412503115
Minimum0
Maximum1.480453014
Zeros84309
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:42.766527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.001881872
95-th percentile1.018655048
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.001881872

Descriptive statistics

Standard deviation0.4999645106
Coefficient of variation (CV)1.133063247
Kurtosis-1.935367443
Mean0.4412503115
Median Absolute Deviation (MAD)0
Skewness0.2511941019
Sum66187.54672
Variance0.2499645119
MonotonicityNot monotonic
2024-06-11T19:35:42.833762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84309
56.2%
1.003675345 14
 
< 0.1%
1.004760016 14
 
< 0.1%
1.001811321 13
 
< 0.1%
1.001666435 12
 
< 0.1%
1.00757098 12
 
< 0.1%
1.004165221 12
 
< 0.1%
1.011100838 11
 
< 0.1%
1.000640991 11
 
< 0.1%
1.00238048 11
 
< 0.1%
Other values (62414) 65581
43.7%
ValueCountFrequency (%)
0 84309
56.2%
1.000000002 1
 
< 0.1%
1.000000008 1
 
< 0.1%
1.000000009 1
 
< 0.1%
1.000000009 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.479407718 1
< 0.1%
1.444662079 1
< 0.1%
1.359796911 1
< 0.1%
1.329910265 1
< 0.1%

voice_mts_out_drest_partstd_mnt1
Real number (ℝ)

ZEROS 

Distinct94920
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7624596516
Minimum0
Maximum1.207704776
Zeros38439
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:42.901315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.005376259
Q31.019874515
95-th percentile1.094185678
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.019874515

Descriptive statistics

Standard deviation0.4486695395
Coefficient of variation (CV)0.5884502066
Kurtosis-0.7625809847
Mean0.7624596516
Median Absolute Deviation (MAD)0.01523587992
Skewness-1.098664382
Sum114368.9477
Variance0.2013043557
MonotonicityNot monotonic
2024-06-11T19:35:42.972517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38439
 
25.6%
1.164401954 1826
 
1.2%
1.049793044 611
 
0.4%
1.023762432 468
 
0.3%
1.013872843 380
 
0.3%
1.00908403 328
 
0.2%
1.006406835 277
 
0.2%
1.004760016 196
 
0.1%
1.003675345 191
 
0.1%
1.002923264 190
 
0.1%
Other values (94910) 107094
71.4%
ValueCountFrequency (%)
0 38439
25.6%
1.000000584 1
 
< 0.1%
1.000000595 1
 
< 0.1%
1.000000999 1
 
< 0.1%
1.000001019 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 133
0.1%
1.202430347 1
 
< 0.1%
1.201440752 1
 
< 0.1%
1.20119658 1
 
< 0.1%
1.200820949 1
 
< 0.1%

voice_mts_out_nwork_partmin_mnt3
Real number (ℝ)

ZEROS 

Distinct5162
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1209068233
Minimum0
Maximum1.317426808
Zeros131926
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:43.040590image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.001086104
Maximum1.317426808
Range1.317426808
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3266734717
Coefficient of variation (CV)2.70186134
Kurtosis3.440070356
Mean0.1209068233
Median Absolute Deviation (MAD)0
Skewness2.332123025
Sum18136.0235
Variance0.1067155571
MonotonicityNot monotonic
2024-06-11T19:35:43.111106image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131926
88.0%
1.001231401 66
 
< 0.1%
1.000891199 63
 
< 0.1%
1.000505029 63
 
< 0.1%
1.000793598 62
 
< 0.1%
1.00024038 62
 
< 0.1%
1.000483072 61
 
< 0.1%
1.000392144 61
 
< 0.1%
1.000264405 60
 
< 0.1%
1.000362834 60
 
< 0.1%
Other values (5152) 17516
 
11.7%
ValueCountFrequency (%)
0 131926
88.0%
1.000000951 1
 
< 0.1%
1.000000958 1
 
< 0.1%
1.000001095 1
 
< 0.1%
1.000001214 1
 
< 0.1%
ValueCountFrequency (%)
1.317426808 1
< 0.1%
1.242533088 1
< 0.1%
1.193557132 1
< 0.1%
1.1870961 1
< 0.1%
1.175445742 1
< 0.1%

voice_out_short_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct469
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01590705368
Minimum0
Maximum1.207457957
Zeros147616
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:43.178892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.207457957
Range1.207457957
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1251749399
Coefficient of variation (CV)7.869146761
Kurtosis57.95434901
Mean0.01590705368
Median Absolute Deviation (MAD)0
Skewness7.742652384
Sum2386.058051
Variance0.01566876558
MonotonicityNot monotonic
2024-06-11T19:35:43.345508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147616
98.4%
1.000190256 29
 
< 0.1%
1.000170879 27
 
< 0.1%
1.000195615 27
 
< 0.1%
1.000226138 25
 
< 0.1%
1.000185114 25
 
< 0.1%
1.000154319 24
 
< 0.1%
1.000175436 24
 
< 0.1%
1.000091574 24
 
< 0.1%
1.000264405 23
 
< 0.1%
Other values (459) 2156
 
1.4%
ValueCountFrequency (%)
0 147616
98.4%
1.000008676 1
 
< 0.1%
1.000008831 1
 
< 0.1%
1.000009555 1
 
< 0.1%
1.000010306 1
 
< 0.1%
ValueCountFrequency (%)
1.207457957 1
< 0.1%
1.164401954 1
< 0.1%
1.136913586 1
< 0.1%
1.123480475 1
< 0.1%
1.113213566 1
< 0.1%

accum_mts_dur_min_mnt3
Real number (ℝ)

ZEROS 

Distinct323
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1388599029
Minimum-1.000027732
Maximum1.000209518
Zeros118329
Zeros (%)78.9%
Negative26250
Negative (%)17.5%
Memory size1.1 MiB
2024-06-11T19:35:43.417016image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000027732
5-th percentile-1
Q10
median0
Q30
95-th percentile0
Maximum1.000209518
Range2.00023725
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4380175834
Coefficient of variation (CV)-3.154384919
Kurtosis1.274086996
Mean-0.1388599029
Median Absolute Deviation (MAD)0
Skewness-0.6694503032
Sum-20828.98543
Variance0.1918594034
MonotonicityNot monotonic
2024-06-11T19:35:43.492264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118329
78.9%
-1 16701
 
11.1%
-1 4580
 
3.1%
-1 1963
 
1.3%
-1 1156
 
0.8%
-1 751
 
0.5%
1.000000004 612
 
0.4%
-1 525
 
0.4%
-1 499
 
0.3%
1.000000014 429
 
0.3%
Other values (313) 4455
 
3.0%
ValueCountFrequency (%)
-1.000027732 1
< 0.1%
-1.000026489 1
< 0.1%
-1.000012913 1
< 0.1%
-1.000010464 1
< 0.1%
-1.00000793 1
< 0.1%
ValueCountFrequency (%)
1.000209518 1
< 0.1%
1.000148004 2
< 0.1%
1.000142291 1
< 0.1%
1.000128494 1
< 0.1%
1.000109103 1
< 0.1%

conn_com_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct6015
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3656253659
Minimum0
Maximum1.480453014
Zeros97662
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:43.564477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.002164112
95-th percentile1.107914922
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.002164112

Descriptive statistics

Standard deviation0.5019529258
Coefficient of variation (CV)1.372861329
Kurtosis-1.488702918
Mean0.3656253659
Median Absolute Deviation (MAD)0
Skewness0.6695044249
Sum54843.80489
Variance0.2519567397
MonotonicityNot monotonic
2024-06-11T19:35:43.635690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 97662
65.1%
1.049793044 592
 
0.4%
1.03324115 576
 
0.4%
1.023762432 555
 
0.4%
1.082760975 545
 
0.4%
1.164401954 534
 
0.4%
1.017830633 527
 
0.4%
1.013872843 494
 
0.3%
1.00757098 447
 
0.3%
1.011100838 432
 
0.3%
Other values (6005) 47636
31.8%
ValueCountFrequency (%)
0 97662
65.1%
1.000001212 1
 
< 0.1%
1.000002572 1
 
< 0.1%
1.00000396 1
 
< 0.1%
1.000004575 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 129
0.1%
1.473165307 1
 
< 0.1%
1.472011531 1
 
< 0.1%
1.470705785 1
 
< 0.1%
1.470423722 1
 
< 0.1%

content_clc_std_mnt3
Real number (ℝ)

ZEROS 

Distinct917
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06651284467
Minimum0
Maximum24.03969793
Zeros145227
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:43.707397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24.03969793
Range24.03969793
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5876156778
Coefficient of variation (CV)8.83461955
Kurtosis362.7994402
Mean0.06651284467
Median Absolute Deviation (MAD)0
Skewness16.93910085
Sum9976.9267
Variance0.3452921848
MonotonicityNot monotonic
2024-06-11T19:35:43.780152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145227
96.8%
1.070981739 846
 
0.6%
1.041652523 773
 
0.5%
1.623274637 174
 
0.1%
1.139504951 157
 
0.1%
1.157689342 156
 
0.1%
1.227140246 153
 
0.1%
1.011503693 146
 
0.1%
1.01817803 139
 
0.1%
1.016174342 98
 
0.1%
Other values (907) 2131
 
1.4%
ValueCountFrequency (%)
0 145227
96.8%
1.004318823 1
 
< 0.1%
1.005835745 2
 
< 0.1%
1.006120826 3
 
< 0.1%
1.006416431 3
 
< 0.1%
ValueCountFrequency (%)
24.03969793 1
< 0.1%
20.86771169 1
< 0.1%
18.79440112 1
< 0.1%
18.78889744 1
< 0.1%
18.32979165 1
< 0.1%

all_roam_clc_td_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct143
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004436686635
Minimum-13.00886221
Maximum4.804977808
Zeros149643
Zeros (%)99.8%
Negative313
Negative (%)0.2%
Memory size1.1 MiB
2024-06-11T19:35:43.848640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-13.00886221
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.804977808
Range17.81384002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1440805642
Coefficient of variation (CV)-32.47481195
Kurtosis3058.981598
Mean-0.004436686635
Median Absolute Deviation (MAD)0
Skewness-45.92557492
Sum-665.5029953
Variance0.02075920897
MonotonicityNot monotonic
2024-06-11T19:35:43.922044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149643
99.8%
-1.519363531 44
 
< 0.1%
-1.118714131 18
 
< 0.1%
-1.139336664 17
 
< 0.1%
-1.272604233 16
 
< 0.1%
-1.845670964 15
 
< 0.1%
-1.016511439 12
 
< 0.1%
-2.148019931 11
 
< 0.1%
-1.825571843 10
 
< 0.1%
1.016511439 9
 
< 0.1%
Other values (133) 205
 
0.1%
ValueCountFrequency (%)
-13.00886221 1
< 0.1%
-12.4304496 1
< 0.1%
-12.02128094 1
< 0.1%
-11.96183514 1
< 0.1%
-11.21769409 1
< 0.1%
ValueCountFrequency (%)
4.804977808 2
< 0.1%
3.486190677 1
 
< 0.1%
2.087600251 1
 
< 0.1%
1.946387308 4
< 0.1%
1.845670964 1
 
< 0.1%

voice_in_td_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct25933
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.588689806
Minimum0
Maximum37.34950238
Zeros5291
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:43.994387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.10808554
Q13.354696031
median5.285523123
Q37.463563515
95-th percentile11.19267986
Maximum37.34950238
Range37.34950238
Interquartile range (IQR)4.108867484

Descriptive statistics

Standard deviation3.142908103
Coefficient of variation (CV)0.5623693947
Kurtosis1.025625977
Mean5.588689806
Median Absolute Deviation (MAD)2.043714958
Skewness0.6918297086
Sum838303.4708
Variance9.877871346
MonotonicityNot monotonic
2024-06-11T19:35:44.071013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5291
 
3.5%
1.064320397 1496
 
1.0%
1.10808554 678
 
0.5%
1.23367744 387
 
0.3%
1.207704776 382
 
0.3%
1.251588959 353
 
0.2%
1.139222859 301
 
0.2%
1.412203867 283
 
0.2%
1.26210277 272
 
0.2%
1.59627656 267
 
0.2%
Other values (25923) 140290
93.5%
ValueCountFrequency (%)
0 5291
3.5%
1.064320397 1496
 
1.0%
1.069446038 28
 
< 0.1%
1.075498494 27
 
< 0.1%
1.082760975 45
 
< 0.1%
ValueCountFrequency (%)
37.34950238 1
< 0.1%
31.73237707 1
< 0.1%
28.87771158 1
< 0.1%
28.68482778 1
< 0.1%
28.67843911 1
< 0.1%

goodok_clc_min_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:44.128387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:44.176018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_life_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct1359
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07055462377
Minimum0
Maximum1.480453014
Zeros139671
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:44.235902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.001424332
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2597728865
Coefficient of variation (CV)3.681869064
Kurtosis9.764879004
Mean0.07055462377
Median Absolute Deviation (MAD)0
Skewness3.421956023
Sum10583.19357
Variance0.06748195258
MonotonicityNot monotonic
2024-06-11T19:35:44.309224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139671
93.1%
1.013872843 170
 
0.1%
1.017830633 168
 
0.1%
1.00908403 164
 
0.1%
1.00757098 157
 
0.1%
1.023762432 155
 
0.1%
1.011100838 145
 
0.1%
1.006406835 138
 
0.1%
1.03324115 136
 
0.1%
1.002631002 132
 
0.1%
Other values (1349) 8964
 
6.0%
ValueCountFrequency (%)
0 139671
93.1%
1.000009211 1
 
< 0.1%
1.00001011 1
 
< 0.1%
1.000010576 1
 
< 0.1%
1.000010785 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 7
< 0.1%
1.447627406 1
 
< 0.1%
1.444194169 1
 
< 0.1%
1.431359359 2
 
< 0.1%
1.425528148 1
 
< 0.1%

sms_in_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct336
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.594123541
Minimum0
Maximum54.10854009
Zeros16251
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:44.381708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.206948961
median3.590290394
Q36.30189811
95-th percentile11.86254065
Maximum54.10854009
Range54.10854009
Interquartile range (IQR)4.09494915

Descriptive statistics

Standard deviation3.891879055
Coefficient of variation (CV)0.8471428816
Kurtosis8.156995437
Mean4.594123541
Median Absolute Deviation (MAD)2.10983738
Skewness2.018676411
Sum689118.5311
Variance15.14672258
MonotonicityNot monotonic
2024-06-11T19:35:44.454347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.206948961 18851
12.6%
1.480453014 16286
10.9%
0 16251
10.8%
2.921812056 14630
9.8%
3.590290394 13156
 
8.8%
4.210401996 10453
 
7.0%
4.786566308 8668
 
5.8%
5.324077125 6818
 
4.5%
5.827795843 5828
 
3.9%
6.30189811 4744
 
3.2%
Other values (326) 34315
22.9%
ValueCountFrequency (%)
0 16251
10.8%
1.480453014 16286
10.9%
2.206948961 18851
12.6%
2.921812056 14630
9.8%
3.590290394 13156
8.8%
ValueCountFrequency (%)
54.10854009 1
< 0.1%
48.68942831 1
< 0.1%
47.70504225 1
< 0.1%
46.84358942 1
< 0.1%
46.38672379 1
< 0.1%

voice_in_cmpttrs_td_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7874669087
Minimum0
Maximum36.47199877
Zeros116029
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:44.522586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.786566308
Maximum36.47199877
Range36.47199877
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.911996637
Coefficient of variation (CV)2.428034266
Kurtosis17.1285423
Mean0.7874669087
Median Absolute Deviation (MAD)0
Skewness3.562757572
Sum118120.0363
Variance3.655731141
MonotonicityNot monotonic
2024-06-11T19:35:44.594039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116029
77.4%
1.480453014 11454
 
7.6%
2.206948961 6039
 
4.0%
2.921812056 3679
 
2.5%
3.590290394 2688
 
1.8%
4.210401996 1903
 
1.3%
4.786566308 1457
 
1.0%
5.324077125 1137
 
0.8%
5.827795843 918
 
0.6%
6.30189811 717
 
0.5%
Other values (84) 3979
 
2.7%
ValueCountFrequency (%)
0 116029
77.4%
1.480453014 11454
 
7.6%
2.206948961 6039
 
4.0%
2.921812056 3679
 
2.5%
3.590290394 2688
 
1.8%
ValueCountFrequency (%)
36.47199877 1
< 0.1%
28.75032958 1
< 0.1%
24.98883471 1
< 0.1%
24.76754894 1
< 0.1%
24.23511437 1
< 0.1%

accum_oth_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct509
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1690604943
Minimum-1
Maximum1.001138671
Zeros116973
Zeros (%)78.0%
Negative3834
Negative (%)2.6%
Memory size1.1 MiB
2024-06-11T19:35:44.754007image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1.000001165
Maximum1.001138671
Range2.001138672
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4377223039
Coefficient of variation (CV)2.589146007
Kurtosis0.8453933738
Mean0.1690604943
Median Absolute Deviation (MAD)0
Skewness0.7995317875
Sum25359.07415
Variance0.1916008153
MonotonicityNot monotonic
2024-06-11T19:35:44.829344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116973
78.0%
1.000000004 4032
 
2.7%
-1 2799
 
1.9%
1.000000014 2769
 
1.8%
1.000000032 2074
 
1.4%
1.000000058 1716
 
1.1%
1.00000009 1469
 
1.0%
1.00000013 1253
 
0.8%
1.000000176 1056
 
0.7%
1.00000023 936
 
0.6%
Other values (499) 14923
 
9.9%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 17
 
< 0.1%
-1 25
 
< 0.1%
-1 55
< 0.1%
-1 75
0.1%
ValueCountFrequency (%)
1.001138671 1
< 0.1%
1.00099828 1
< 0.1%
1.000479543 1
< 0.1%
1.000469313 1
< 0.1%
1.000361685 1
< 0.1%

voice_out_td_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct224
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.43438124
Minimum0
Maximum43.70937847
Zeros65111
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:44.902818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q37.964623589
95-th percentile15.14662631
Maximum43.70937847
Range43.70937847
Interquartile range (IQR)7.964623589

Descriptive statistics

Standard deviation5.380617413
Coefficient of variation (CV)1.213386293
Kurtosis0.7150454413
Mean4.43438124
Median Absolute Deviation (MAD)2.206948961
Skewness1.166274807
Sum665157.186
Variance28.95104374
MonotonicityNot monotonic
2024-06-11T19:35:44.971221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65111
43.4%
1.480453014 7230
 
4.8%
2.206948961 5613
 
3.7%
2.921812056 4924
 
3.3%
3.590290394 4445
 
3.0%
4.210401996 4104
 
2.7%
4.786566308 3676
 
2.5%
5.324077125 3434
 
2.3%
5.827795843 3128
 
2.1%
6.30189811 2857
 
1.9%
Other values (214) 45478
30.3%
ValueCountFrequency (%)
0 65111
43.4%
1.480453014 7230
 
4.8%
2.206948961 5613
 
3.7%
2.921812056 4924
 
3.3%
3.590290394 4445
 
3.0%
ValueCountFrequency (%)
43.70937847 1
< 0.1%
36.41014679 1
< 0.1%
36.12845212 1
< 0.1%
34.01885111 1
< 0.1%
33.0691214 1
< 0.1%

gprs_tar_vol_min_mnt3
Real number (ℝ)

ZEROS 

Distinct5442
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.62836045
Minimum0
Maximum260.9969456
Zeros134988
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.038649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27.73390474
Maximum260.9969456
Range260.9969456
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.51732292
Coefficient of variation (CV)4.276676238
Kurtosis50.1398693
Mean3.62836045
Median Absolute Deviation (MAD)0
Skewness6.303992849
Sum544254.0674
Variance240.7873106
MonotonicityNot monotonic
2024-06-11T19:35:45.110583image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 134988
90.0%
1.480453014 528
 
0.4%
2.206948961 382
 
0.3%
2.921812056 252
 
0.2%
3.590290394 218
 
0.1%
4.210401996 213
 
0.1%
4.786566308 191
 
0.1%
22.29933738 186
 
0.1%
5.324077125 171
 
0.1%
5.827795843 150
 
0.1%
Other values (5432) 12721
 
8.5%
ValueCountFrequency (%)
0 134988
90.0%
1.001468335 1
 
< 0.1%
1.001769987 3
 
< 0.1%
1.002453611 2
 
< 0.1%
1.00324232 2
 
< 0.1%
ValueCountFrequency (%)
260.9969456 1
< 0.1%
241.1415689 1
< 0.1%
236.8070409 1
< 0.1%
229.1908983 1
< 0.1%
227.1427209 1
< 0.1%

voice_mts_out_dwork_partmin_mnt3
Real number (ℝ)

ZEROS 

Distinct14629
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4622223289
Minimum0
Maximum1.480453014
Zeros84736
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.178991image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.036234542
95-th percentile1.136426886
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.036234542

Descriptive statistics

Standard deviation0.5280544481
Coefficient of variation (CV)1.142425225
Kurtosis-1.898732274
Mean0.4622223289
Median Absolute Deviation (MAD)0
Skewness0.2782165534
Sum69333.34933
Variance0.2788415002
MonotonicityNot monotonic
2024-06-11T19:35:45.249466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84736
56.5%
1.082760975 666
 
0.4%
1.049793044 645
 
0.4%
1.03324115 585
 
0.4%
1.023762432 504
 
0.3%
1.017830633 439
 
0.3%
1.013872843 411
 
0.3%
1.011100838 353
 
0.2%
1.164401954 343
 
0.2%
1.00908403 317
 
0.2%
Other values (14619) 61001
40.7%
ValueCountFrequency (%)
0 84736
56.5%
1.000001507 1
 
< 0.1%
1.000002231 1
 
< 0.1%
1.000003138 1
 
< 0.1%
1.000004927 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.464375657 1
< 0.1%
1.452101843 1
< 0.1%
1.434604799 1
< 0.1%
1.420805745 2
< 0.1%

content_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.040214501
Minimum0
Maximum63.91667401
Zeros52215
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.318663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.921812056
Q34.786566308
95-th percentile8.333535892
Maximum63.91667401
Range63.91667401
Interquartile range (IQR)4.786566308

Descriptive statistics

Standard deviation3.023771034
Coefficient of variation (CV)0.9945913463
Kurtosis2.568184318
Mean3.040214501
Median Absolute Deviation (MAD)2.921812056
Skewness1.053746737
Sum456032.1751
Variance9.143191263
MonotonicityNot monotonic
2024-06-11T19:35:45.388332image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52215
34.8%
2.921812056 18219
 
12.1%
3.590290394 11380
 
7.6%
1.480453014 10572
 
7.0%
4.786566308 8389
 
5.6%
4.210401996 6629
 
4.4%
2.206948961 6578
 
4.4%
5.324077125 6295
 
4.2%
5.827795843 4797
 
3.2%
6.749901739 4545
 
3.0%
Other values (111) 20381
 
13.6%
ValueCountFrequency (%)
0 52215
34.8%
1.480453014 10572
 
7.0%
2.206948961 6578
 
4.4%
2.921812056 18219
 
12.1%
3.590290394 11380
 
7.6%
ValueCountFrequency (%)
63.91667401 1
< 0.1%
33.26436087 1
< 0.1%
33.10839141 1
< 0.1%
30.47779396 1
< 0.1%
30.04209411 1
< 0.1%

voice_mts_in_nwork_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct112474
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9554164418
Minimum0
Maximum1.480453014
Zeros23206
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.457249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.011369203
median1.064326196
Q31.158525533
95-th percentile1.428147861
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1471563299

Descriptive statistics

Standard deviation0.4256414611
Coefficient of variation (CV)0.4455035966
Kurtosis1.109934656
Mean0.9554164418
Median Absolute Deviation (MAD)0.06233088177
Skewness-1.563895494
Sum143312.4663
Variance0.1811706534
MonotonicityNot monotonic
2024-06-11T19:35:45.527948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23206
 
15.5%
1.480453014 5414
 
3.6%
1.164401954 95
 
0.1%
1.082760975 74
 
< 0.1%
1.049793044 53
 
< 0.1%
1.260942818 49
 
< 0.1%
1.03324115 40
 
< 0.1%
1.063158942 37
 
< 0.1%
1.113213566 34
 
< 0.1%
1.220903412 29
 
< 0.1%
Other values (112464) 120969
80.6%
ValueCountFrequency (%)
0 23206
15.5%
1.000000004 1
 
< 0.1%
1.00000001 1
 
< 0.1%
1.000000019 1
 
< 0.1%
1.000000022 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 5414
3.6%
1.480345717 1
 
< 0.1%
1.48022205 1
 
< 0.1%
1.480044345 1
 
< 0.1%
1.480012951 1
 
< 0.1%

pay_max_std_mnt3
Real number (ℝ)

ZEROS 

Distinct31255
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.55900842
Minimum0
Maximum55.06562039
Zeros25612
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.595956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.53805583
median16.9226667
Q319.07379353
95-th percentile23.92984152
Maximum55.06562039
Range55.06562039
Interquartile range (IQR)6.535737697

Descriptive statistics

Standard deviation7.921380118
Coefficient of variation (CV)0.5440878865
Kurtosis0.07415687847
Mean14.55900842
Median Absolute Deviation (MAD)2.84752689
Skewness-0.628003335
Sum2183851.262
Variance62.74826298
MonotonicityNot monotonic
2024-06-11T19:35:45.661911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25612
 
17.1%
15.69616379 3015
 
2.0%
17.09828818 2319
 
1.5%
15.93930484 1738
 
1.2%
14.59397912 1590
 
1.1%
18.9080105 1537
 
1.0%
17.7356038 1473
 
1.0%
17.67972932 1456
 
1.0%
15.37178221 1447
 
1.0%
17.58962437 1333
 
0.9%
Other values (31245) 108480
72.3%
ValueCountFrequency (%)
0 25612
17.1%
1.000809897 2
 
< 0.1%
1.004487315 1
 
< 0.1%
1.005237753 1
 
< 0.1%
1.0060417 1
 
< 0.1%
ValueCountFrequency (%)
55.06562039 1
< 0.1%
50.93428008 1
< 0.1%
49.53907768 1
< 0.1%
49.10858274 1
< 0.1%
48.8733107 1
< 0.1%

all_clc_std_mnt1
Real number (ℝ)

ZEROS 

Distinct33021
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.122208562
Minimum0
Maximum53.44857025
Zeros57817
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.730170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.194332784
Q316.30699057
95-th percentile22.47718447
Maximum53.44857025
Range53.44857025
Interquartile range (IQR)16.30699057

Descriptive statistics

Standard deviation8.713527233
Coefficient of variation (CV)1.072802695
Kurtosis-0.825217269
Mean8.122208562
Median Absolute Deviation (MAD)3.194332784
Skewness0.5571018445
Sum1218331.284
Variance75.92555684
MonotonicityNot monotonic
2024-06-11T19:35:45.801636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57817
38.5%
15.9956774 3889
 
2.6%
1.213999962 3019
 
2.0%
16.30699057 2425
 
1.6%
16.60928707 1776
 
1.2%
14.64753823 1774
 
1.2%
1.213796097 1590
 
1.1%
14.64746474 1454
 
1.0%
19.24085122 1448
 
1.0%
22.47718447 1366
 
0.9%
Other values (33011) 73442
49.0%
ValueCountFrequency (%)
0 57817
38.5%
1.000000002 365
 
0.2%
1.000000003 68
 
< 0.1%
1.000000007 8
 
< 0.1%
1.000000009 14
 
< 0.1%
ValueCountFrequency (%)
53.44857025 1
< 0.1%
52.44107821 1
< 0.1%
52.36100876 1
< 0.1%
52.35667006 2
< 0.1%
52.00580564 1
< 0.1%

data_3g_tv_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct429
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.707767689
Minimum0
Maximum94.28380167
Zeros99139
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:45.867175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.921812056
95-th percentile14.42168393
Maximum94.28380167
Range94.28380167
Interquartile range (IQR)2.921812056

Descriptive statistics

Standard deviation5.320167576
Coefficient of variation (CV)1.964779917
Kurtosis9.933807942
Mean2.707767689
Median Absolute Deviation (MAD)0
Skewness2.70315894
Sum406165.1533
Variance28.30418304
MonotonicityNot monotonic
2024-06-11T19:35:45.931384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99139
66.1%
2.206948961 5732
 
3.8%
1.480453014 4650
 
3.1%
3.590290394 3812
 
2.5%
2.921812056 3187
 
2.1%
4.786566308 2807
 
1.9%
4.210401996 2083
 
1.4%
5.827795843 1900
 
1.3%
5.324077125 1525
 
1.0%
6.749901739 1490
 
1.0%
Other values (419) 23675
 
15.8%
ValueCountFrequency (%)
0 99139
66.1%
1.480453014 4650
 
3.1%
2.206948961 5732
 
3.8%
2.921812056 3187
 
2.1%
3.590290394 3812
 
2.5%
ValueCountFrequency (%)
94.28380167 1
< 0.1%
89.88773219 1
< 0.1%
86.66260196 1
< 0.1%
77.75652459 1
< 0.1%
70.602976 1
< 0.1%

non_accum_internet_vol_td_mnt3
Real number (ℝ)

ZEROS 

Distinct123772
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.514962665
Minimum-275.7857458
Maximum299.3788148
Zeros24895
Zeros (%)16.6%
Negative58682
Negative (%)39.1%
Memory size1.1 MiB
2024-06-11T19:35:45.994115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-275.7857458
5-th percentile-167.5907905
Q1-100.1413297
median0
Q3114.7161336
95-th percentile171.2086026
Maximum299.3788148
Range575.1645606
Interquartile range (IQR)214.8574632

Descriptive statistics

Standard deviation113.241536
Coefficient of variation (CV)15.06880885
Kurtosis-1.185466689
Mean7.514962665
Median Absolute Deviation (MAD)108.340036
Skewness-0.08785051538
Sum1127244.4
Variance12823.64547
MonotonicityNot monotonic
2024-06-11T19:35:46.063206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24895
 
16.6%
1.00095998 63
 
< 0.1%
-1.000300379 54
 
< 0.1%
-1.000108887 49
 
< 0.1%
1.001424332 48
 
< 0.1%
1.000012183 47
 
< 0.1%
1.000300379 43
 
< 0.1%
1.000584711 41
 
< 0.1%
-1.000584711 41
 
< 0.1%
1.000108887 40
 
< 0.1%
Other values (123762) 124679
83.1%
ValueCountFrequency (%)
-275.7857458 1
< 0.1%
-266.669262 1
< 0.1%
-260.0483588 1
< 0.1%
-257.8244899 1
< 0.1%
-254.1164666 1
< 0.1%
ValueCountFrequency (%)
299.3788148 1
< 0.1%
273.9743187 1
< 0.1%
263.2190909 1
< 0.1%
262.9631828 1
< 0.1%
262.5388758 1
< 0.1%

data_3g_tv_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct4485
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.271474682
Minimum0
Maximum92.34714461
Zeros40297
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:46.231027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.805623069
Q37.933148006
95-th percentile18.56378171
Maximum92.34714461
Range92.34714461
Interquartile range (IQR)7.933148006

Descriptive statistics

Standard deviation6.444682091
Coefficient of variation (CV)1.222557724
Kurtosis4.635996904
Mean5.271474682
Median Absolute Deviation (MAD)2.805623069
Skewness1.833540168
Sum790721.2023
Variance41.53392726
MonotonicityNot monotonic
2024-06-11T19:35:46.300532image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40297
26.9%
1.023762432 2491
 
1.7%
1.006406835 2367
 
1.6%
1.082760975 1882
 
1.3%
1.164401954 1667
 
1.1%
1.049793044 1565
 
1.0%
1.260942818 1396
 
0.9%
1.121317553 1305
 
0.9%
1.367400612 1181
 
0.8%
1.480453014 1149
 
0.8%
Other values (4475) 94700
63.1%
ValueCountFrequency (%)
0 40297
26.9%
1.006406835 2367
 
1.6%
1.00757098 9
 
< 0.1%
1.00908403 16
 
< 0.1%
1.011100838 19
 
< 0.1%
ValueCountFrequency (%)
92.34714461 1
< 0.1%
89.72035516 1
< 0.1%
87.50611577 1
< 0.1%
78.13884879 1
< 0.1%
64.51204107 1
< 0.1%

ama_volume_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.000000054 × 10-5
Minimum-1.000000054
Maximum1
Zeros149986
Zeros (%)> 99.9%
Negative10
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:46.358821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000000054
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2.000000055
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009660867282
Coefficient of variation (CV)-241.5216788
Kurtosis10711.27553
Mean-4.000000054 × 10-5
Median Absolute Deviation (MAD)0
Skewness-44.3505213
Sum-6.000000081
Variance9.333235664 × 10-5
MonotonicityNot monotonic
2024-06-11T19:35:46.418570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 149986
> 99.9%
-1 4
 
< 0.1%
1 2
 
< 0.1%
-1.000000017 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
-1 1
 
< 0.1%
-1 1
 
< 0.1%
-1.000000054 1
 
< 0.1%
-1 1
 
< 0.1%
ValueCountFrequency (%)
-1.000000054 1
< 0.1%
-1.000000017 1
< 0.1%
-1.00000001 1
< 0.1%
-1 1
< 0.1%
-1 1
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
1 1
 
< 0.1%
1 2
 
< 0.1%
0 149986
> 99.9%
-1 4
 
< 0.1%

ks_num_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1421
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8327521198
Minimum0
Maximum1.480453014
Zeros36888
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:46.486228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001149315
median1.03324115
Q31.105899739
95-th percentile1.336189487
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1047504235

Descriptive statistics

Standard deviation0.4867831228
Coefficient of variation (CV)0.5845474436
Kurtosis-0.6730576675
Mean0.8327521198
Median Absolute Deviation (MAD)0.06817162879
Skewness-1.003380007
Sum124912.818
Variance0.2369578086
MonotonicityNot monotonic
2024-06-11T19:35:46.561664image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36888
24.6%
1.164401954 9033
 
6.0%
1.082760975 7800
 
5.2%
1.049793044 6573
 
4.4%
1.480453014 6084
 
4.1%
1.03324115 5229
 
3.5%
1.023762432 4233
 
2.8%
1.017830633 3383
 
2.3%
1.113213566 3082
 
2.1%
1.013872843 2823
 
1.9%
Other values (1411) 64872
43.2%
ValueCountFrequency (%)
0 36888
24.6%
1.000039806 1
 
< 0.1%
1.000080437 1
 
< 0.1%
1.000089847 1
 
< 0.1%
1.000130615 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 6084
4.1%
1.480453014 3
 
< 0.1%
1.449111292 1
 
< 0.1%
1.447627406 1
 
< 0.1%
1.442193484 2
 
< 0.1%

voice_out_cmpttrs_avg_dutd_mnt3
Real number (ℝ)

ZEROS 

Distinct71530
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1091248575
Minimum-35.52058006
Maximum37.09178808
Zeros26046
Zeros (%)17.4%
Negative59588
Negative (%)39.7%
Memory size1.1 MiB
2024-06-11T19:35:46.633600image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-35.52058006
5-th percentile-11.76353039
Q1-3.548818108
median0
Q33.977385049
95-th percentile11.42576545
Maximum37.09178808
Range72.61236815
Interquartile range (IQR)7.526203157

Descriptive statistics

Standard deviation6.872284159
Coefficient of variation (CV)62.97634027
Kurtosis1.058236908
Mean0.1091248575
Median Absolute Deviation (MAD)3.781686114
Skewness-0.1055419035
Sum16368.72863
Variance47.22828957
MonotonicityNot monotonic
2024-06-11T19:35:46.705268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26046
 
17.4%
2.431015877 866
 
0.6%
-2.431015877 803
 
0.5%
2.124878644 764
 
0.5%
1.238333209 703
 
0.5%
1.514559429 702
 
0.5%
1.816535297 696
 
0.5%
-2.124878644 651
 
0.4%
1.036270046 638
 
0.4%
-1.238333209 605
 
0.4%
Other values (71520) 117526
78.4%
ValueCountFrequency (%)
-35.52058006 1
< 0.1%
-33.23572626 1
< 0.1%
-32.59032986 1
< 0.1%
-32.12690475 1
< 0.1%
-32.01299839 1
< 0.1%
ValueCountFrequency (%)
37.09178808 1
< 0.1%
35.76418277 1
< 0.1%
34.29758306 1
< 0.1%
32.53039522 1
< 0.1%
31.57059596 1
< 0.1%

data_3g_tar_vol_mea_wk1
Real number (ℝ)

ZEROS 

Distinct71034
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.07316152
Minimum0
Maximum335.5342943
Zeros75001
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:46.776591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3150.5833501
95-th percentile223.404129
Maximum335.5342943
Range335.5342943
Interquartile range (IQR)150.5833501

Descriptive statistics

Standard deviation85.42566323
Coefficient of variation (CV)1.219092465
Kurtosis-1.033016718
Mean70.07316152
Median Absolute Deviation (MAD)0
Skewness0.7159438736
Sum10510974.23
Variance7297.543939
MonotonicityNot monotonic
2024-06-11T19:35:46.847874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75001
50.0%
22.29933738 297
 
0.2%
1.480453014 200
 
0.1%
2.206948961 119
 
0.1%
3.590290394 101
 
0.1%
29.12504295 94
 
0.1%
2.921812056 91
 
0.1%
4.210401996 87
 
0.1%
5.827795843 55
 
< 0.1%
5.324077125 50
 
< 0.1%
Other values (71024) 73905
49.3%
ValueCountFrequency (%)
0 75001
50.0%
1.001468335 6
 
< 0.1%
1.002098514 1
 
< 0.1%
1.002453611 26
 
< 0.1%
1.00324232 6
 
< 0.1%
ValueCountFrequency (%)
335.5342943 1
< 0.1%
334.5913626 1
< 0.1%
331.6980709 1
< 0.1%
330.1813873 1
< 0.1%
324.0476424 1
< 0.1%

voice_out_cmpttrs_avg_dumax_mnt3
Real number (ℝ)

ZEROS 

Distinct5588
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.35408395
Minimum0
Maximum79.88948317
Zeros25720
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:46.919690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.73715019
median30.14016055
Q339.14133654
95-th percentile52.64066997
Maximum79.88948317
Range79.88948317
Interquartile range (IQR)18.40418635

Descriptive statistics

Standard deviation16.21575297
Coefficient of variation (CV)0.5719018467
Kurtosis-0.3680578114
Mean28.35408395
Median Absolute Deviation (MAD)9.001175986
Skewness-0.3270715682
Sum4253112.592
Variance262.9506444
MonotonicityNot monotonic
2024-06-11T19:35:46.992911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25720
 
17.1%
17.89928393 9592
 
6.4%
23.99960696 8327
 
5.6%
28.02437138 6378
 
4.3%
31.0829974 4713
 
3.1%
33.57110757 3836
 
2.6%
35.67888361 3151
 
2.1%
37.51341156 2697
 
1.8%
39.14133654 2317
 
1.5%
40.60712622 2053
 
1.4%
Other values (5578) 81216
54.1%
ValueCountFrequency (%)
0 25720
17.1%
17.89928393 9592
 
6.4%
17.97751596 1
 
< 0.1%
18.11568421 1
 
< 0.1%
18.18433895 1
 
< 0.1%
ValueCountFrequency (%)
79.88948317 25
< 0.1%
79.74092074 3
 
< 0.1%
79.59124657 1
 
< 0.1%
79.44044295 1
 
< 0.1%
79.28849175 3
 
< 0.1%

voice_mts_in_nrest_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct86120
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6420363733
Minimum0
Maximum1.480453014
Zeros57354
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.060760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.001068291
Q31.016728046
95-th percentile1.129262267
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.016728046

Descriptive statistics

Standard deviation0.5088762675
Coefficient of variation (CV)0.7925972556
Kurtosis-1.717204651
Mean0.6420363733
Median Absolute Deviation (MAD)0.05209094747
Skewness-0.4315679393
Sum96305.456
Variance0.2589550556
MonotonicityNot monotonic
2024-06-11T19:35:47.129940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57354
38.2%
1.480453014 905
 
0.6%
1.03324115 24
 
< 0.1%
1.164401954 23
 
< 0.1%
1.005491992 20
 
< 0.1%
1.023762432 19
 
< 0.1%
1.013872843 19
 
< 0.1%
1.00757098 18
 
< 0.1%
1.082760975 18
 
< 0.1%
1.049793044 17
 
< 0.1%
Other values (86110) 91583
61.1%
ValueCountFrequency (%)
0 57354
38.2%
1.000000002 1
 
< 0.1%
1.000000004 1
 
< 0.1%
1.000000005 1
 
< 0.1%
1.00000001 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 905
0.6%
1.480230002 1
 
< 0.1%
1.480227241 1
 
< 0.1%
1.480071558 1
 
< 0.1%
1.479728806 1
 
< 0.1%

voice_mts_in_nrest_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct111227
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7634161588
Minimum0
Maximum1.152044495
Zeros36476
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.198409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000002181
median1.001385008
Q31.006267169
95-th percentile1.033963525
Maximum1.152044495
Range1.152044495
Interquartile range (IQR)0.006264987264

Descriptive statistics

Standard deviation0.4329253297
Coefficient of variation (CV)0.567089555
Kurtosis-0.5687370944
Mean0.7634161588
Median Absolute Deviation (MAD)0.00462960825
Skewness-1.194187655
Sum114512.4238
Variance0.1874243411
MonotonicityNot monotonic
2024-06-11T19:35:47.269685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36476
 
24.3%
1.064320397 1010
 
0.7%
1.10808554 42
 
< 0.1%
1.001256603 19
 
< 0.1%
1.01817803 15
 
< 0.1%
1.001633101 11
 
< 0.1%
1.003150561 10
 
< 0.1%
1.025516672 10
 
< 0.1%
1.00099675 10
 
< 0.1%
1.000482366 10
 
< 0.1%
Other values (111217) 112387
74.9%
ValueCountFrequency (%)
0 36476
24.3%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000001 1
 
< 0.1%
ValueCountFrequency (%)
1.152044495 1
 
< 0.1%
1.150338487 1
 
< 0.1%
1.139222859 4
< 0.1%
1.138910411 1
 
< 0.1%
1.138781977 1
 
< 0.1%

sms_roam_clc_min_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.324003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:47.371638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

sms_clc_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02178981048
Minimum0
Maximum52.06788685
Zeros148614
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.432723image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum52.06788685
Range52.06788685
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2884450937
Coefficient of variation (CV)13.2376137
Kurtosis7325.492066
Mean0.02178981048
Median Absolute Deviation (MAD)0
Skewness50.89857747
Sum3268.471572
Variance0.08320057208
MonotonicityNot monotonic
2024-06-11T19:35:47.504915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148614
99.1%
1.604773951 388
 
0.3%
1.604273725 378
 
0.3%
2.46360592 111
 
0.1%
2.462595556 82
 
0.1%
3.281747174 56
 
< 0.1%
3.280346311 53
 
< 0.1%
4.032641655 35
 
< 0.1%
2.463172916 30
 
< 0.1%
1.021216128 29
 
< 0.1%
Other values (68) 224
 
0.1%
ValueCountFrequency (%)
0 148614
99.1%
1.021216128 29
 
< 0.1%
1.041983236 1
 
< 0.1%
1.043564051 1
 
< 0.1%
1.065158781 1
 
< 0.1%
ValueCountFrequency (%)
52.06788685 1
< 0.1%
15.60180942 1
< 0.1%
12.65904728 1
< 0.1%
12.11664494 1
< 0.1%
11.53871839 1
< 0.1%

all_cnt_max_mnt1
Real number (ℝ)

Distinct1629
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.00070332
Minimum0
Maximum109.8824313
Zeros870
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.674423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.55454345
Q118.2963085
median23.92007719
Q329.38626447
95-th percentile38.02113311
Maximum109.8824313
Range109.8824313
Interquartile range (IQR)11.08995597

Descriptive statistics

Standard deviation8.61389596
Coefficient of variation (CV)0.3589018141
Kurtosis1.81341398
Mean24.00070332
Median Absolute Deviation (MAD)5.517812541
Skewness0.3686848279
Sum3600105.498
Variance74.19920362
MonotonicityNot monotonic
2024-06-11T19:35:47.745034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 870
 
0.6%
18.80424527 808
 
0.5%
17.34626355 788
 
0.5%
17.76365739 779
 
0.5%
18.42550908 777
 
0.5%
17.48719744 774
 
0.5%
15.82363655 773
 
0.5%
14.97017418 772
 
0.5%
16.61232692 769
 
0.5%
17.20345623 766
 
0.5%
Other values (1619) 142124
94.7%
ValueCountFrequency (%)
0 870
0.6%
1.480453014 143
 
0.1%
2.206948961 107
 
0.1%
2.921812056 162
 
0.1%
3.590290394 138
 
0.1%
ValueCountFrequency (%)
109.8824313 1
< 0.1%
106.9087139 1
< 0.1%
105.308958 1
< 0.1%
101.6747772 1
< 0.1%
99.74146433 1
< 0.1%

voice_mts_in_nrest_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct4022
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0269089496
Minimum0
Maximum1.033162004
Zeros145965
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.816964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.033162004
Range1.033162004
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1618457087
Coefficient of variation (CV)6.014568059
Kurtosis32.20375264
Mean0.0269089496
Median Absolute Deviation (MAD)0
Skewness5.848354523
Sum4036.34244
Variance0.02619403344
MonotonicityNot monotonic
2024-06-11T19:35:47.890654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145965
97.3%
1.000002759 2
 
< 0.1%
1.000001665 2
 
< 0.1%
1.000034128 2
 
< 0.1%
1.000043517 2
 
< 0.1%
1.00000118 2
 
< 0.1%
1.000001873 2
 
< 0.1%
1.000005909 2
 
< 0.1%
1.000425155 2
 
< 0.1%
1.000013864 2
 
< 0.1%
Other values (4012) 4017
 
2.7%
ValueCountFrequency (%)
0 145965
97.3%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.033162004 1
< 0.1%
1.031259798 1
< 0.1%
1.023463914 1
< 0.1%
1.01864766 1
< 0.1%
1.017035704 1
< 0.1%

voice_in_kievstar_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct3381
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7815779576
Minimum0
Maximum1.480453014
Zeros45146
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:47.960612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.012371142
Q31.09619608
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.09619608

Descriptive statistics

Standard deviation0.5281948248
Coefficient of variation (CV)0.6758056822
Kurtosis-1.225683227
Mean0.7815779576
Median Absolute Deviation (MAD)0.1322378267
Skewness-0.6616776436
Sum117236.6936
Variance0.278989773
MonotonicityNot monotonic
2024-06-11T19:35:48.031629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45146
30.1%
1.480453014 10018
 
6.7%
1.164401954 4327
 
2.9%
1.082760975 3297
 
2.2%
1.049793044 2704
 
1.8%
1.03324115 2382
 
1.6%
1.023762432 2052
 
1.4%
1.017830633 1777
 
1.2%
1.260942818 1754
 
1.2%
1.013872843 1529
 
1.0%
Other values (3371) 75014
50.0%
ValueCountFrequency (%)
0 45146
30.1%
1.000016458 1
 
< 0.1%
1.000018986 1
 
< 0.1%
1.000019153 1
 
< 0.1%
1.000019666 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 10018
6.7%
1.473920774 1
 
< 0.1%
1.473529281 1
 
< 0.1%
1.470566765 1
 
< 0.1%
1.469293462 1
 
< 0.1%

all_clc_max_mnt3
Real number (ℝ)

ZEROS 

Distinct23135
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.10372933
Minimum0
Maximum63.96307825
Zeros25921
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:48.101616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.497536115
median21.74906374
Q324.17225743
95-th percentile30.17844535
Maximum63.96307825
Range63.96307825
Interquartile range (IQR)19.67472132

Descriptive statistics

Standard deviation11.21567163
Coefficient of variation (CV)0.655744219
Kurtosis-0.5845469765
Mean17.10372933
Median Absolute Deviation (MAD)5.105722732
Skewness-0.2510361425
Sum2565559.4
Variance125.7912902
MonotonicityNot monotonic
2024-06-11T19:35:48.171374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25921
 
17.3%
21.74906374 7252
 
4.8%
22.11876484 5398
 
3.6%
20.13969538 4109
 
2.7%
29.33036315 3386
 
2.3%
22.47711246 2944
 
2.0%
1.604773951 2624
 
1.7%
23.16295481 2533
 
1.7%
25.57253549 2263
 
1.5%
20.13960725 1964
 
1.3%
Other values (23125) 91606
61.1%
ValueCountFrequency (%)
0 25921
17.3%
1.00000001 231
 
0.2%
1.00000004 41
 
< 0.1%
1.00000009 8
 
< 0.1%
1.00000016 8
 
< 0.1%
ValueCountFrequency (%)
63.96307825 1
< 0.1%
62.86542916 1
< 0.1%
62.77049348 1
< 0.1%
62.76573354 2
< 0.1%
62.38074321 1
< 0.1%

conn_in_uniq_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct397
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.02613136
Minimum0
Maximum44.63442906
Zeros7683
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:48.241322image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.569415055
median4.646352578
Q36.858181878
95-th percentile10.83132398
Maximum44.63442906
Range44.63442906
Interquartile range (IQR)4.288766823

Descriptive statistics

Standard deviation3.217465548
Coefficient of variation (CV)0.6401475245
Kurtosis1.569503902
Mean5.02613136
Median Absolute Deviation (MAD)2.103549161
Skewness0.9073405672
Sum753919.7039
Variance10.35208455
MonotonicityNot monotonic
2024-06-11T19:35:48.310293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7683
 
5.1%
1.049793044 3416
 
2.3%
2.747038501 3221
 
2.1%
2.3892276 3162
 
2.1%
2.921812056 3133
 
2.1%
3.093574543 3110
 
2.1%
3.262248815 3083
 
2.1%
2.206948961 3070
 
2.0%
1.657607816 3059
 
2.0%
2.569415055 3050
 
2.0%
Other values (387) 114013
76.0%
ValueCountFrequency (%)
0 7683
5.1%
1.049793044 3416
2.3%
1.164401954 2947
 
2.0%
1.31316983 2672
 
1.8%
1.480453014 3042
 
2.0%
ValueCountFrequency (%)
44.63442906 1
< 0.1%
32.33195704 1
< 0.1%
30.29798707 1
< 0.1%
29.1382286 1
< 0.1%
27.92345324 1
< 0.1%

clc_no_vas_roam_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct210
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02129623548
Minimum-1
Maximum23.52773356
Zeros149364
Zeros (%)99.6%
Negative4
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:48.377413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23.52773356
Range24.52773356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4159036045
Coefficient of variation (CV)19.52944242
Kurtosis950.0950411
Mean0.02129623548
Median Absolute Deviation (MAD)0
Skewness27.58837365
Sum3194.435322
Variance0.1729758083
MonotonicityNot monotonic
2024-06-11T19:35:48.446554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149364
99.6%
2.463172916 144
 
0.1%
4.0319091 58
 
< 0.1%
5.353447327 28
 
< 0.1%
1.604773951 23
 
< 0.1%
7.484120594 23
 
< 0.1%
6.488016529 21
 
< 0.1%
8.374312464 17
 
< 0.1%
1.335206418 14
 
< 0.1%
1.00000001 13
 
< 0.1%
Other values (200) 295
 
0.2%
ValueCountFrequency (%)
-1 4
 
< 0.1%
0 149364
99.6%
1.00000001 13
 
< 0.1%
1.00000009 1
 
< 0.1%
1.000000999 1
 
< 0.1%
ValueCountFrequency (%)
23.52773356 1
< 0.1%
23.16295481 1
< 0.1%
22.47711246 1
< 0.1%
21.7490829 1
< 0.1%
21.74906374 1
< 0.1%

Ama_rchrgmnt_sum_std_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:48.499853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:48.546815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_short_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct944
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2446707128
Minimum0
Maximum1.480453014
Zeros113660
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:48.607605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.005491992
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4332243439
Coefficient of variation (CV)1.770642424
Kurtosis-0.5023432823
Mean0.2446707128
Median Absolute Deviation (MAD)0
Skewness1.213557024
Sum36700.60691
Variance0.1876833322
MonotonicityNot monotonic
2024-06-11T19:35:48.680678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113660
75.8%
1.002164112 652
 
0.4%
1.002631002 649
 
0.4%
1.004760016 648
 
0.4%
1.005491992 643
 
0.4%
1.00238048 635
 
0.4%
1.002923264 634
 
0.4%
1.003267084 633
 
0.4%
1.004165221 629
 
0.4%
1.003675345 625
 
0.4%
Other values (934) 30592
 
20.4%
ValueCountFrequency (%)
0 113660
75.8%
1.000009211 1
 
< 0.1%
1.000010715 1
 
< 0.1%
1.000011001 1
 
< 0.1%
1.000012986 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 228
0.2%
1.383209542 1
 
< 0.1%
1.357409079 1
 
< 0.1%
1.345493163 3
 
< 0.1%
1.31316983 4
 
< 0.1%

accum_mts_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct4592
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1680892977
Minimum-1
Maximum1.001334059
Zeros102621
Zeros (%)68.4%
Negative11083
Negative (%)7.4%
Memory size1.1 MiB
2024-06-11T19:35:48.751427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile1.00001016
Maximum1.001334059
Range2.001334059
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5362957838
Coefficient of variation (CV)3.190540928
Kurtosis0.07066768003
Mean0.1680892977
Median Absolute Deviation (MAD)0
Skewness0.118723615
Sum25213.39465
Variance0.2876131677
MonotonicityNot monotonic
2024-06-11T19:35:48.908697image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102621
68.4%
-1 6968
 
4.6%
-1 1839
 
1.2%
1 1834
 
1.2%
1 852
 
0.6%
-1 823
 
0.5%
1 813
 
0.5%
1.000000001 642
 
0.4%
1.000000002 526
 
0.4%
1.000000004 480
 
0.3%
Other values (4582) 32602
 
21.7%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 4
< 0.1%
-1 5
< 0.1%
-1 3
< 0.1%
-1 4
< 0.1%
ValueCountFrequency (%)
1.001334059 1
< 0.1%
1.001251859 1
< 0.1%
1.001077818 1
< 0.1%
1.000914245 1
< 0.1%
1.000738872 1
< 0.1%

voice_mts_in_nwork_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct20522
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1397264221
Minimum0
Maximum1.231462343
Zeros129095
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:48.978067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.000835636
Maximum1.231462343
Range1.231462343
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3472375874
Coefficient of variation (CV)2.485124732
Kurtosis2.339634412
Mean0.1397264221
Median Absolute Deviation (MAD)0
Skewness2.082987244
Sum20958.96332
Variance0.1205739421
MonotonicityNot monotonic
2024-06-11T19:35:49.052057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129095
86.1%
1.000185114 5
 
< 0.1%
1.000207036 4
 
< 0.1%
1.000946895 4
 
< 0.1%
1.000049246 4
 
< 0.1%
1.000018822 4
 
< 0.1%
1.000094261 3
 
< 0.1%
1.000098031 3
 
< 0.1%
1.000036792 3
 
< 0.1%
1.000020568 3
 
< 0.1%
Other values (20512) 20872
 
13.9%
ValueCountFrequency (%)
0 129095
86.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
1.000000003 1
 
< 0.1%
1.000000004 1
 
< 0.1%
ValueCountFrequency (%)
1.231462343 1
< 0.1%
1.188495094 1
< 0.1%
1.182693372 1
< 0.1%
1.173962666 1
< 0.1%
1.155053356 1
< 0.1%

ks_num_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct79670
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8862643442
Minimum0
Maximum1.480453014
Zeros21859
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.123222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000750704
median1.008479598
Q31.038913162
95-th percentile1.145441213
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.03816245795

Descriptive statistics

Standard deviation0.3698137845
Coefficient of variation (CV)0.4172725518
Kurtosis1.870950395
Mean0.8862643442
Median Absolute Deviation (MAD)0.01287477604
Skewness-1.914104963
Sum132939.6516
Variance0.1367622352
MonotonicityNot monotonic
2024-06-11T19:35:49.199182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21859
 
14.6%
1.006406835 1812
 
1.2%
1.001666435 1528
 
1.0%
1.000750704 1250
 
0.8%
1.000425155 1025
 
0.7%
1.000273218 775
 
0.5%
1.000190256 759
 
0.5%
1.023762432 607
 
0.4%
1.000140054 593
 
0.4%
1.013872843 568
 
0.4%
Other values (79660) 119224
79.5%
ValueCountFrequency (%)
0 21859
14.6%
1.000001032 1
 
< 0.1%
1.000001233 1
 
< 0.1%
1.000001642 2
 
< 0.1%
1.000001747 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 21
< 0.1%
1.470840949 1
 
< 0.1%
1.466046358 8
 
< 0.1%
1.463993917 1
 
< 0.1%
1.46125958 2
 
< 0.1%

conn_in_uniq_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct942
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.195199898
Minimum0
Maximum22.6217062
Zeros9493
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.271445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.45108808
median1.992306409
Q32.74970655
95-th percentile4.490515994
Maximum22.6217062
Range22.6217062
Interquartile range (IQR)1.29861847

Descriptive statistics

Standard deviation1.26091481
Coefficient of variation (CV)0.5743963505
Kurtosis7.824406758
Mean2.195199898
Median Absolute Deviation (MAD)0.63600523
Skewness1.580879963
Sum329279.9847
Variance1.589906158
MonotonicityNot monotonic
2024-06-11T19:35:49.340015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.164401954 11099
 
7.4%
1.45108808 10872
 
7.2%
0 9493
 
6.3%
1.356301179 6484
 
4.3%
1.207704776 6255
 
4.2%
1.663597369 5907
 
3.9%
1.839588705 5579
 
3.7%
1.992306409 5440
 
3.6%
1.687217756 5387
 
3.6%
1.7768194 4622
 
3.1%
Other values (932) 78862
52.6%
ValueCountFrequency (%)
0 9493
6.3%
1.164401954 11099
7.4%
1.207704776 6255
4.2%
1.356301179 6484
4.3%
1.45108808 10872
7.2%
ValueCountFrequency (%)
22.6217062 1
< 0.1%
20.87032268 1
< 0.1%
20.33705476 1
< 0.1%
20.00015721 1
< 0.1%
19.96049776 1
< 0.1%

voice_in_cmpttrs_avg_durmea_mnt3
Real number (ℝ)

ZEROS 

Distinct91563
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.19342109
Minimum0
Maximum51.65387212
Zeros19216
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.407537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.164892502
median18.40253947
Q324.80565063
95-th percentile33.72197085
Maximum51.65387212
Range51.65387212
Interquartile range (IQR)15.64075813

Descriptive statistics

Standard deviation10.60387698
Coefficient of variation (CV)0.6167403756
Kurtosis-0.7882159409
Mean17.19342109
Median Absolute Deviation (MAD)7.428918078
Skewness-0.09897460914
Sum2579013.164
Variance112.4422071
MonotonicityNot monotonic
2024-06-11T19:35:49.477400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19216
 
12.8%
2.206948961 138
 
0.1%
1.839588705 134
 
0.1%
1.657607816 128
 
0.1%
1.597822603 124
 
0.1%
1.778610665 123
 
0.1%
1.900753899 122
 
0.1%
2.267901364 121
 
0.1%
1.717913664 121
 
0.1%
2.023336405 120
 
0.1%
Other values (91553) 129653
86.4%
ValueCountFrequency (%)
0 19216
12.8%
1.006406835 60
 
< 0.1%
1.013872843 2
 
< 0.1%
1.023762432 50
 
< 0.1%
1.035812534 1
 
< 0.1%
ValueCountFrequency (%)
51.65387212 1
< 0.1%
51.43328703 1
< 0.1%
51.32955106 1
< 0.1%
50.81210102 1
< 0.1%
50.41280993 1
< 0.1%

vas_clc_std_mnt3
Real number (ℝ)

ZEROS 

Distinct25564
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.136467575
Minimum0
Maximum44.869874
Zeros63562
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.546217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.142133535
Q33.744085105
95-th percentile12.82268455
Maximum44.869874
Range44.869874
Interquartile range (IQR)3.744085105

Descriptive statistics

Standard deviation4.877674694
Coefficient of variation (CV)1.55514909
Kurtosis8.795017471
Mean3.136467575
Median Absolute Deviation (MAD)1.142133535
Skewness2.450243907
Sum470470.1362
Variance23.79171042
MonotonicityNot monotonic
2024-06-11T19:35:49.615070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63562
42.4%
1.901723775 7277
 
4.9%
1.085479715 4980
 
3.3%
1.085391526 2589
 
1.7%
3.038469295 1943
 
1.3%
12.40843847 1570
 
1.0%
11.00451042 1499
 
1.0%
3.203303805 974
 
0.6%
2.30687417 959
 
0.6%
1.142133535 931
 
0.6%
Other values (25554) 63716
42.5%
ValueCountFrequency (%)
0 63562
42.4%
1.000005059 7
 
< 0.1%
1.000007981 38
 
< 0.1%
1.0000165 7
 
< 0.1%
1.001734109 1
 
< 0.1%
ValueCountFrequency (%)
44.869874 1
 
< 0.1%
44.79283827 3
< 0.1%
44.77328865 1
 
< 0.1%
44.46907115 1
 
< 0.1%
44.36530195 1
 
< 0.1%

voice_in_kievstar_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct1835
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1437086336
Minimum0
Maximum1.480453014
Zeros129084
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.681515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.015449922
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.357744912
Coefficient of variation (CV)2.489376617
Kurtosis2.469280821
Mean0.1437086336
Median Absolute Deviation (MAD)0
Skewness2.102043251
Sum21556.29503
Variance0.1279814221
MonotonicityNot monotonic
2024-06-11T19:35:49.753725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129084
86.1%
1.03324115 390
 
0.3%
1.011100838 361
 
0.2%
1.023762432 334
 
0.2%
1.00757098 328
 
0.2%
1.006406835 315
 
0.2%
1.049793044 314
 
0.2%
1.082760975 311
 
0.2%
1.017830633 309
 
0.2%
1.013872843 299
 
0.2%
Other values (1825) 17955
 
12.0%
ValueCountFrequency (%)
0 129084
86.1%
1.000016064 1
 
< 0.1%
1.000017289 1
 
< 0.1%
1.000017729 1
 
< 0.1%
1.000017879 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 40
< 0.1%
1.454889611 1
 
< 0.1%
1.446831509 1
 
< 0.1%
1.445996071 2
 
< 0.1%
1.444194169 2
 
< 0.1%

voice_mts_in_nwork_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct110176
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7675134924
Minimum0
Maximum1.207704776
Zeros37181
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.825682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000001414
median1.003427391
Q31.015638318
95-th percentile1.076792004
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.01563690367

Descriptive statistics

Standard deviation0.4415150696
Coefficient of variation (CV)0.5752538216
Kurtosis-0.6452093414
Mean0.7675134924
Median Absolute Deviation (MAD)0.01201574901
Skewness-1.152879755
Sum115127.0239
Variance0.1949355567
MonotonicityNot monotonic
2024-06-11T19:35:49.900705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37181
 
24.8%
1.164401954 1148
 
0.8%
1.207704776 48
 
< 0.1%
1.023762432 21
 
< 0.1%
1.049793044 14
 
< 0.1%
1.001075172 12
 
< 0.1%
1.013872843 12
 
< 0.1%
1.003675345 11
 
< 0.1%
1.006406835 9
 
< 0.1%
1.00908403 9
 
< 0.1%
Other values (110166) 111535
74.4%
ValueCountFrequency (%)
0 37181
24.8%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 48
< 0.1%
1.207399252 1
 
< 0.1%
1.204780214 1
 
< 0.1%
1.204667384 1
 
< 0.1%
1.204284203 1
 
< 0.1%

voice_mts_in_dwork_part_min_mnt3
Real number (ℝ)

ZEROS 

Distinct76451
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5575566508
Minimum0
Maximum1.480453014
Zeros70356
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:49.971058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000388005
Q31.036972266
95-th percentile1.127467173
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.036972266

Descriptive statistics

Standard deviation0.5254654797
Coefficient of variation (CV)0.9424432099
Kurtosis-1.963485648
Mean0.5575566508
Median Absolute Deviation (MAD)0.1478751491
Skewness-0.1069817778
Sum83633.49762
Variance0.2761139703
MonotonicityNot monotonic
2024-06-11T19:35:50.044418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70356
46.9%
1.049793044 21
 
< 0.1%
1.011100838 19
 
< 0.1%
1.03324115 18
 
< 0.1%
1.017830633 17
 
< 0.1%
1.023762432 16
 
< 0.1%
1.003675345 14
 
< 0.1%
1.005491992 14
 
< 0.1%
1.004760016 13
 
< 0.1%
1.00757098 12
 
< 0.1%
Other values (76441) 79500
53.0%
ValueCountFrequency (%)
0 70356
46.9%
1.000000006 1
 
< 0.1%
1.00000001 1
 
< 0.1%
1.00000002 1
 
< 0.1%
1.00000002 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 7
< 0.1%
1.458724194 1
 
< 0.1%
1.448513848 1
 
< 0.1%
1.446311178 1
 
< 0.1%
1.445619749 1
 
< 0.1%

gprs_tar_vol_std_mnt1
Real number (ℝ)

ZEROS 

Distinct69818
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.59872165
Minimum0
Maximum271.8583482
Zeros62171
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:50.118229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.33095137
Q351.41055654
95-th percentile153.0129383
Maximum271.8583482
Range271.8583482
Interquartile range (IQR)51.41055654

Descriptive statistics

Standard deviation51.30796983
Coefficient of variation (CV)1.401906064
Kurtosis1.440211156
Mean36.59872165
Median Absolute Deviation (MAD)13.33095137
Skewness1.531664173
Sum5489808.247
Variance2632.507768
MonotonicityNot monotonic
2024-06-11T19:35:50.281055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62171
41.4%
1.164401954 1128
 
0.8%
16.45925281 842
 
0.6%
1.480453014 680
 
0.5%
1.839588705 452
 
0.3%
2.921812056 320
 
0.2%
2.206948961 309
 
0.2%
2.569415055 259
 
0.2%
3.262248815 196
 
0.1%
3.590290394 168
 
0.1%
Other values (69808) 83475
55.6%
ValueCountFrequency (%)
0 62171
41.4%
1.00037415 2
 
< 0.1%
1.000628687 7
 
< 0.1%
1.000833819 2
 
< 0.1%
1.000946895 1
 
< 0.1%
ValueCountFrequency (%)
271.8583482 1
< 0.1%
270.758734 1
< 0.1%
269.1052173 1
< 0.1%
268.3587396 1
< 0.1%
264.8011794 1
< 0.1%

voice_out_fix_tar_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct2555
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.08794465
Minimum0
Maximum70.53230306
Zeros110504
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:50.348897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.456586673
95-th percentile26.55818469
Maximum70.53230306
Range70.53230306
Interquartile range (IQR)9.456586673

Descriptive statistics

Standard deviation9.575486627
Coefficient of variation (CV)1.881995046
Kurtosis2.904611832
Mean5.08794465
Median Absolute Deviation (MAD)0
Skewness1.874882133
Sum763191.6975
Variance91.68994415
MonotonicityNot monotonic
2024-06-11T19:35:50.422846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110504
73.7%
9.456586673 7819
 
5.2%
13.76988162 4050
 
2.7%
16.75745178 2235
 
1.5%
19.08389386 1427
 
1.0%
11.19356231 1233
 
0.8%
14.28833284 1184
 
0.8%
21.00602927 1064
 
0.7%
16.94997225 676
 
0.5%
22.65252346 663
 
0.4%
Other values (2545) 19145
 
12.8%
ValueCountFrequency (%)
0 110504
73.7%
9.456586673 7819
 
5.2%
9.697782369 36
 
< 0.1%
9.966519419 34
 
< 0.1%
10.26911687 34
 
< 0.1%
ValueCountFrequency (%)
70.53230306 1
< 0.1%
66.56529963 1
< 0.1%
66.33308894 1
< 0.1%
66.23838128 1
< 0.1%
65.52215871 1
< 0.1%

voice_mts_out_nwork_partmea_mnt3
Real number (ℝ)

ZEROS 

Distinct103285
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7923561124
Minimum0
Maximum1.430013289
Zeros32537
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:50.493289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000035221
median1.00269015
Q31.010957852
95-th percentile1.039526005
Maximum1.430013289
Range1.430013289
Interquartile range (IQR)0.0109226306

Descriptive statistics

Standard deviation0.4173552769
Coefficient of variation (CV)0.5267268977
Kurtosis-0.1186045274
Mean0.7923561124
Median Absolute Deviation (MAD)0.006558778263
Skewness-1.367645839
Sum118853.4169
Variance0.1741854272
MonotonicityNot monotonic
2024-06-11T19:35:50.564682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32537
 
21.7%
1.006406835 1206
 
0.8%
1.001666435 478
 
0.3%
1.000750704 389
 
0.3%
1.000425155 312
 
0.2%
1.000273218 265
 
0.2%
1.000190256 228
 
0.2%
1.000107387 187
 
0.1%
1.002923264 179
 
0.1%
1.000140054 177
 
0.1%
Other values (103275) 114042
76.0%
ValueCountFrequency (%)
0 32537
21.7%
1.00000001 1
 
< 0.1%
1.000000011 1
 
< 0.1%
1.000000015 1
 
< 0.1%
1.000000028 1
 
< 0.1%
ValueCountFrequency (%)
1.430013289 1
< 0.1%
1.402144751 1
< 0.1%
1.3947772 1
< 0.1%
1.350705666 1
< 0.1%
1.348261821 1
< 0.1%

voice_in_mts_avg_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct138405
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.38551051
Minimum0
Maximum54.77725773
Zeros8647
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:50.634451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.69412012
median19.5439235
Q325.47476559
95-th percentile34.05228235
Maximum54.77725773
Range54.77725773
Interquartile range (IQR)11.78064546

Descriptive statistics

Standard deviation8.963011267
Coefficient of variation (CV)0.462356215
Kurtosis-0.174062184
Mean19.38551051
Median Absolute Deviation (MAD)5.890266438
Skewness-0.152148997
Sum2907826.577
Variance80.33557096
MonotonicityNot monotonic
2024-06-11T19:35:50.700578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8647
 
5.8%
3.800184121 64
 
< 0.1%
3.042659816 58
 
< 0.1%
4.494900233 57
 
< 0.1%
4.979292293 55
 
< 0.1%
4.659639159 54
 
< 0.1%
4.154953529 49
 
< 0.1%
5.134454613 48
 
< 0.1%
2.432251801 48
 
< 0.1%
5.286665607 46
 
< 0.1%
Other values (138395) 140874
93.9%
ValueCountFrequency (%)
0 8647
5.8%
1.064320397 14
 
< 0.1%
1.207704776 21
 
< 0.1%
1.240310308 1
 
< 0.1%
1.331510769 1
 
< 0.1%
ValueCountFrequency (%)
54.77725773 1
< 0.1%
53.29633031 1
< 0.1%
53.29228687 1
< 0.1%
51.41193813 1
< 0.1%
51.19851119 1
< 0.1%

block_all_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.84120528
Minimum0
Maximum178.2267327
Zeros135821
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:50.761517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.12729397
Coefficient of variation (CV)3.095223478
Kurtosis5.68676599
Mean16.84120528
Median Absolute Deviation (MAD)0
Skewness2.772396917
Sum2526180.792
Variance2717.254777
MonotonicityNot monotonic
2024-06-11T19:35:50.827151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 135821
90.5%
178.2267327 14148
 
9.4%
172.3802955 1
 
< 0.1%
172.062662 1
 
< 0.1%
160.8810592 1
 
< 0.1%
141.6716308 1
 
< 0.1%
171.4555988 1
 
< 0.1%
161.5404109 1
 
< 0.1%
172.0015199 1
 
< 0.1%
166.4047508 1
 
< 0.1%
Other values (23) 23
 
< 0.1%
ValueCountFrequency (%)
0 135821
90.5%
33.57110757 1
 
< 0.1%
96.10879713 1
 
< 0.1%
115.9051762 1
 
< 0.1%
117.352388 1
 
< 0.1%
ValueCountFrequency (%)
178.2267327 14148
9.4%
178.2266886 1
 
< 0.1%
178.2266446 1
 
< 0.1%
178.2266006 1
 
< 0.1%
177.2821927 1
 
< 0.1%

voice_in_life_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct2478
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3260366915
Minimum0
Maximum1.480453014
Zeros103872
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:50.898370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.001666435
95-th percentile1.113213566
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.001666435

Descriptive statistics

Standard deviation0.4926930992
Coefficient of variation (CV)1.511158443
Kurtosis-1.114387317
Mean0.3260366915
Median Absolute Deviation (MAD)0
Skewness0.8866566751
Sum48905.50372
Variance0.24274649
MonotonicityNot monotonic
2024-06-11T19:35:50.967371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 103872
69.2%
1.480453014 1247
 
0.8%
1.164401954 1141
 
0.8%
1.082760975 1105
 
0.7%
1.049793044 1010
 
0.7%
1.03324115 940
 
0.6%
1.023762432 935
 
0.6%
1.017830633 867
 
0.6%
1.013872843 799
 
0.5%
1.011100838 761
 
0.5%
Other values (2468) 37323
 
24.9%
ValueCountFrequency (%)
0 103872
69.2%
1.000011223 1
 
< 0.1%
1.00001153 1
 
< 0.1%
1.000011688 1
 
< 0.1%
1.000011932 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1247
0.8%
1.468922184 1
 
< 0.1%
1.468525352 1
 
< 0.1%
1.468316515 1
 
< 0.1%
1.466046358 1
 
< 0.1%

sms_in_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct193
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.175265455
Minimum0
Maximum53.95833447
Zeros65022
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:51.035867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.480453014
Q32.921812056
95-th percentile7.964623589
Maximum53.95833447
Range53.95833447
Interquartile range (IQR)2.921812056

Descriptive statistics

Standard deviation2.953875986
Coefficient of variation (CV)1.357938168
Kurtosis11.66363455
Mean2.175265455
Median Absolute Deviation (MAD)1.480453014
Skewness2.509316041
Sum326289.8182
Variance8.725383343
MonotonicityNot monotonic
2024-06-11T19:35:51.110131image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65022
43.3%
1.480453014 22688
 
15.1%
2.206948961 15709
 
10.5%
2.921812056 10028
 
6.7%
3.590290394 7414
 
4.9%
4.210401996 5432
 
3.6%
4.786566308 4148
 
2.8%
5.324077125 3223
 
2.1%
5.827795843 2492
 
1.7%
6.30189811 1980
 
1.3%
Other values (183) 11864
 
7.9%
ValueCountFrequency (%)
0 65022
43.3%
1.480453014 22688
 
15.1%
2.206948961 15709
 
10.5%
2.921812056 10028
 
6.7%
3.590290394 7414
 
4.9%
ValueCountFrequency (%)
53.95833447 1
< 0.1%
46.17756345 1
< 0.1%
42.36201949 1
< 0.1%
39.32000482 1
< 0.1%
38.69818231 1
< 0.1%

voice_in_kievstar_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct89884
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.842512058
Minimum0
Maximum1.480453014
Zeros27831
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:51.178429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.00006887
median1.003099311
Q31.023762432
95-th percentile1.151721526
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.02369356196

Descriptive statistics

Standard deviation0.406472059
Coefficient of variation (CV)0.4824525122
Kurtosis0.5228242574
Mean0.842512058
Median Absolute Deviation (MAD)0.01142544657
Skewness-1.525380767
Sum126376.8087
Variance0.1652195347
MonotonicityNot monotonic
2024-06-11T19:35:51.250903image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27831
 
18.6%
1.006406835 2350
 
1.6%
1.001666435 963
 
0.6%
1.023762432 802
 
0.5%
1.000750704 776
 
0.5%
1.000425155 601
 
0.4%
1.000273218 498
 
0.3%
1.000190256 464
 
0.3%
1.000140054 433
 
0.3%
1.013872843 398
 
0.3%
Other values (89874) 114884
76.6%
ValueCountFrequency (%)
0 27831
18.6%
1.000000149 1
 
< 0.1%
1.000000203 1
 
< 0.1%
1.000000207 1
 
< 0.1%
1.000000229 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 40
< 0.1%
1.478314404 1
 
< 0.1%
1.477414376 1
 
< 0.1%
1.477057085 2
 
< 0.1%
1.475835462 1
 
< 0.1%

voice_mts_out_nrest_partstd_mnt1
Real number (ℝ)

ZEROS 

Distinct58511
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5664010584
Minimum0
Maximum1.207704776
Zeros65828
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:51.323279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000116133
Q31.002533093
95-th percentile1.02519812
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.002533093

Descriptive statistics

Standard deviation0.5011791039
Coefficient of variation (CV)0.8848484593
Kurtosis-1.935491243
Mean0.5664010584
Median Absolute Deviation (MAD)0.02045554895
Skewness-0.2427832672
Sum84960.15877
Variance0.2511804942
MonotonicityNot monotonic
2024-06-11T19:35:51.397718image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65828
43.9%
1.164401954 534
 
0.4%
1.013872843 334
 
0.2%
1.004760016 310
 
0.2%
1.003675345 305
 
0.2%
1.049793044 300
 
0.2%
1.006406835 298
 
0.2%
1.023762432 291
 
0.2%
1.002923264 289
 
0.2%
1.00908403 285
 
0.2%
Other values (58501) 81226
54.2%
ValueCountFrequency (%)
0 65828
43.9%
1.000000309 1
 
< 0.1%
1.000000345 1
 
< 0.1%
1.00000041 1
 
< 0.1%
1.000000468 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 5
< 0.1%
1.202887086 1
 
< 0.1%
1.199111183 1
 
< 0.1%
1.198249473 1
 
< 0.1%
1.196318097 1
 
< 0.1%

content_clc_max_mnt3
Real number (ℝ)

ZEROS 

Distinct445
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11585879
Minimum0
Maximum35.62761492
Zeros145227
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:51.466896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35.62761492
Range35.62761492
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.063648091
Coefficient of variation (CV)9.180555838
Kurtosis289.7925853
Mean0.11585879
Median Absolute Deviation (MAD)0
Skewness15.48744581
Sum17378.81851
Variance1.131347262
MonotonicityNot monotonic
2024-06-11T19:35:51.539450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145227
96.8%
1.335271319 1746
 
1.2%
1.889929983 545
 
0.4%
1.109485035 186
 
0.1%
3.695661629 180
 
0.1%
1.164401954 167
 
0.1%
2.463678086 136
 
0.1%
1.148322296 119
 
0.1%
1.335336222 69
 
< 0.1%
1.334752185 63
 
< 0.1%
Other values (435) 1562
 
1.0%
ValueCountFrequency (%)
0 145227
96.8%
1.044653546 1
 
< 0.1%
1.059022846 2
 
< 0.1%
1.061674421 3
 
< 0.1%
1.064408928 4
 
< 0.1%
ValueCountFrequency (%)
35.62761492 1
< 0.1%
33.39309949 1
< 0.1%
30.69821599 1
< 0.1%
29.47220096 1
< 0.1%
28.40174401 1
< 0.1%

gprs_tar_vol_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct45715
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.05715359
Minimum0
Maximum300.8475521
Zeros62151
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:51.610074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10.96665166
Q351.36051668
95-th percentile147.4992123
Maximum300.8475521
Range300.8475521
Interquartile range (IQR)51.36051668

Descriptive statistics

Standard deviation49.79141848
Coefficient of variation (CV)1.420292676
Kurtosis1.763758928
Mean35.05715359
Median Absolute Deviation (MAD)10.96665166
Skewness1.587118046
Sum5258573.039
Variance2479.185355
MonotonicityNot monotonic
2024-06-11T19:35:51.772401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62151
41.4%
1.049793044 1086
 
0.7%
11.61519305 860
 
0.6%
1.164401954 749
 
0.5%
1.31316983 472
 
0.3%
1.839588705 435
 
0.3%
1.480453014 393
 
0.3%
1.657607816 317
 
0.2%
2.023336405 269
 
0.2%
2.206948961 232
 
0.2%
Other values (45705) 83036
55.4%
ValueCountFrequency (%)
0 62151
41.4%
1.000094444 2
 
< 0.1%
1.000159148 7
 
< 0.1%
1.000211475 2
 
< 0.1%
1.00024038 1
 
< 0.1%
ValueCountFrequency (%)
300.8475521 1
< 0.1%
283.840821 1
< 0.1%
282.5055893 1
< 0.1%
281.3785251 1
< 0.1%
277.4290754 1
< 0.1%

pay_p2p_in_sum_td_mnt3
Real number (ℝ)

ZEROS 

Distinct708
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004280212756
Minimum-24.84149593
Maximum25.85541646
Zeros147417
Zeros (%)98.3%
Negative1249
Negative (%)0.8%
Memory size1.1 MiB
2024-06-11T19:35:51.841897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-24.84149593
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25.85541646
Range50.6969124
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4052838907
Coefficient of variation (CV)946.8779094
Kurtosis618.3416993
Mean0.0004280212756
Median Absolute Deviation (MAD)0
Skewness-0.5460999792
Sum64.20319135
Variance0.164255032
MonotonicityNot monotonic
2024-06-11T19:35:51.910370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147417
98.3%
1.089907359 38
 
< 0.1%
1.0748555 33
 
< 0.1%
-1.089907359 33
 
< 0.1%
2.531813523 30
 
< 0.1%
1.009950143 28
 
< 0.1%
-1.0748555 25
 
< 0.1%
-1.177789087 25
 
< 0.1%
1.177789087 25
 
< 0.1%
-1.325521436 25
 
< 0.1%
Other values (698) 2321
 
1.5%
ValueCountFrequency (%)
-24.84149593 1
< 0.1%
-23.84058304 1
< 0.1%
-17.20345623 1
< 0.1%
-14.50802479 1
< 0.1%
-13.76474047 1
< 0.1%
ValueCountFrequency (%)
25.85541646 1
< 0.1%
24.53636452 1
< 0.1%
15.50013987 1
< 0.1%
14.50802479 1
< 0.1%
13.74015727 1
< 0.1%

voice_out_td_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct6565
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.820305879
Minimum0
Maximum32.33520712
Zeros21035
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:51.974027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.128446161
median4.34551892
Q36.965059041
95-th percentile11.53028166
Maximum32.33520712
Range32.33520712
Interquartile range (IQR)4.83661288

Descriptive statistics

Standard deviation3.633561679
Coefficient of variation (CV)0.753803134
Kurtosis0.9050964509
Mean4.820305879
Median Absolute Deviation (MAD)2.397107189
Skewness0.8415108271
Sum723045.8819
Variance13.20277047
MonotonicityNot monotonic
2024-06-11T19:35:52.043196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21035
 
14.0%
1.164401954 3445
 
2.3%
1.45108808 1777
 
1.2%
1.839588705 1693
 
1.1%
1.480453014 1444
 
1.0%
2.365532092 1190
 
0.8%
1.207704776 1142
 
0.8%
1.992306409 1116
 
0.7%
1.7768194 1099
 
0.7%
3.130296817 977
 
0.7%
Other values (6555) 115082
76.7%
ValueCountFrequency (%)
0 21035
14.0%
1.164401954 3445
 
2.3%
1.207704776 1142
 
0.8%
1.356301179 798
 
0.5%
1.45108808 1777
 
1.2%
ValueCountFrequency (%)
32.33520712 1
< 0.1%
32.04954745 1
< 0.1%
29.90201328 1
< 0.1%
29.89361796 1
< 0.1%
28.2803023 1
< 0.1%

voice_mts_in_drest_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct130888
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9136302036
Minimum0
Maximum1.355193072
Zeros16258
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:52.114239image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.004319306
median1.016898423
Q31.033289272
95-th percentile1.063014095
Maximum1.355193072
Range1.355193072
Interquartile range (IQR)0.0289699654

Descriptive statistics

Standard deviation0.3192155902
Coefficient of variation (CV)0.3493925539
Kurtosis4.290401269
Mean0.9136302036
Median Absolute Deviation (MAD)0.01400242349
Skewness-2.498798666
Sum137044.5305
Variance0.101898593
MonotonicityNot monotonic
2024-06-11T19:35:52.188792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16258
 
10.8%
1.006406835 2001
 
1.3%
1.023762432 387
 
0.3%
1.049793044 73
 
< 0.1%
1.000750704 14
 
< 0.1%
1.082760975 12
 
< 0.1%
1.001666435 9
 
< 0.1%
1.000425155 8
 
< 0.1%
1.002923264 7
 
< 0.1%
1.001075172 6
 
< 0.1%
Other values (130878) 131225
87.5%
ValueCountFrequency (%)
0 16258
10.8%
1.000000001 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000001 1
 
< 0.1%
ValueCountFrequency (%)
1.355193072 1
< 0.1%
1.336165825 1
< 0.1%
1.335769626 1
< 0.1%
1.333567295 1
< 0.1%
1.274490209 1
< 0.1%

voice_in_roam_clc_max_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005324204369
Minimum0
Maximum26.62102185
Zeros149997
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:52.245792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.62102185
Range26.62102185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1190520353
Coefficient of variation (CV)223.605307
Kurtosis49996.6666
Mean0.0005324204369
Median Absolute Deviation (MAD)0
Skewness223.6023255
Sum79.86306554
Variance0.0141733871
MonotonicityNot monotonic
2024-06-11T19:35:52.294177image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149997
> 99.9%
26.62102185 3
 
< 0.1%
ValueCountFrequency (%)
0 149997
> 99.9%
26.62102185 3
 
< 0.1%
ValueCountFrequency (%)
26.62102185 3
 
< 0.1%
0 149997
> 99.9%

data_3g_tv_cnt_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct1570
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.066328253
Minimum0
Maximum94.87270178
Zeros52992
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:52.354289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.3892276
Q37.773993599
95-th percentile18.98885262
Maximum94.87270178
Range94.87270178
Interquartile range (IQR)7.773993599

Descriptive statistics

Standard deviation6.659547539
Coefficient of variation (CV)1.314472179
Kurtosis4.911212287
Mean5.066328253
Median Absolute Deviation (MAD)2.3892276
Skewness1.900911764
Sum759949.2379
Variance44.34957343
MonotonicityNot monotonic
2024-06-11T19:35:52.431320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52992
35.3%
1.164401954 4075
 
2.7%
1.049793044 3578
 
2.4%
1.480453014 3169
 
2.1%
1.839588705 2686
 
1.8%
1.31316983 2395
 
1.6%
2.206948961 2143
 
1.4%
2.569415055 1929
 
1.3%
1.657607816 1923
 
1.3%
2.921812056 1713
 
1.1%
Other values (1560) 73397
48.9%
ValueCountFrequency (%)
0 52992
35.3%
1.049793044 3578
 
2.4%
1.164401954 4075
 
2.7%
1.31316983 2395
 
1.6%
1.480453014 3169
 
2.1%
ValueCountFrequency (%)
94.87270178 1
< 0.1%
89.93394198 1
< 0.1%
87.57735929 1
< 0.1%
78.2895583 1
< 0.1%
72.88503579 1
< 0.1%

pay_p2p_out_sum_min_mnt3
Real number (ℝ)

ZEROS 

Distinct166
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1567460266
Minimum-85.53538439
Maximum0
Zeros148548
Zeros (%)99.0%
Negative1452
Negative (%)1.0%
Memory size1.1 MiB
2024-06-11T19:35:52.496927image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-85.53538439
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range85.53538439
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.870621243
Coefficient of variation (CV)-11.93409035
Kurtosis299.6173231
Mean-0.1567460266
Median Absolute Deviation (MAD)0
Skewness-15.43893378
Sum-23511.90399
Variance3.499223833
MonotonicityNot monotonic
2024-06-11T19:35:52.573578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148548
99.0%
-6.749901739 194
 
0.1%
-10.26911687 155
 
0.1%
-12.79226812 89
 
0.1%
-16.45925281 88
 
0.1%
-22.29933738 73
 
< 0.1%
-4.210401996 66
 
< 0.1%
-8.687248223 57
 
< 0.1%
-14.79061749 44
 
< 0.1%
-17.89928393 40
 
< 0.1%
Other values (156) 646
 
0.4%
ValueCountFrequency (%)
-85.53538439 1
< 0.1%
-77.73729331 1
< 0.1%
-62.62412567 1
< 0.1%
-62.21569598 1
< 0.1%
-61.19173819 1
< 0.1%
ValueCountFrequency (%)
0 148548
99.0%
-1.00000001 1
 
< 0.1%
-1.480453014 3
 
< 0.1%
-2.206948961 13
 
< 0.1%
-2.921812056 10
 
< 0.1%

voice_in_cmpttrs_td_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct159
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.829927471
Minimum0
Maximum38.13159254
Zeros62030
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:52.644921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.480453014
Q34.210401996
95-th percentile10.55454345
Maximum38.13159254
Range38.13159254
Interquartile range (IQR)4.210401996

Descriptive statistics

Standard deviation3.653484638
Coefficient of variation (CV)1.291017058
Kurtosis3.443416339
Mean2.829927471
Median Absolute Deviation (MAD)1.480453014
Skewness1.728342715
Sum424489.1207
Variance13.34795
MonotonicityNot monotonic
2024-06-11T19:35:52.722162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62030
41.4%
1.480453014 18857
 
12.6%
2.206948961 12183
 
8.1%
2.921812056 8747
 
5.8%
3.590290394 6676
 
4.5%
4.210401996 5431
 
3.6%
4.786566308 4548
 
3.0%
5.324077125 3704
 
2.5%
5.827795843 3078
 
2.1%
6.30189811 2631
 
1.8%
Other values (149) 22115
 
14.7%
ValueCountFrequency (%)
0 62030
41.4%
1.480453014 18857
 
12.6%
2.206948961 12183
 
8.1%
2.921812056 8747
 
5.8%
3.590290394 6676
 
4.5%
ValueCountFrequency (%)
38.13159254 1
< 0.1%
33.26436087 1
< 0.1%
31.2188585 1
< 0.1%
31.12843736 1
< 0.1%
30.71382022 1
< 0.1%

accum_oth_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct38019
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6048147822
Minimum0
Maximum1.000789541
Zeros59278
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:52.797959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000000005
Q31.00000045
95-th percentile1.000006422
Maximum1.000789541
Range1.000789541
Interquartile range (IQR)1.00000045

Descriptive statistics

Standard deviation0.4888935506
Coefficient of variation (CV)0.8083359815
Kurtosis-1.81616809
Mean0.6048147822
Median Absolute Deviation (MAD)2.605125408 × 10-6
Skewness-0.4287844733
Sum90722.21733
Variance0.2390169038
MonotonicityNot monotonic
2024-06-11T19:35:52.869919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59278
39.5%
1 2862
 
1.9%
1 2727
 
1.8%
1.000000001 1425
 
0.9%
1.000000003 907
 
0.6%
1.000000001 631
 
0.4%
1 628
 
0.4%
1.000000005 620
 
0.4%
1.000000001 616
 
0.4%
1.000000007 504
 
0.3%
Other values (38009) 79802
53.2%
ValueCountFrequency (%)
0 59278
39.5%
1 1
 
< 0.1%
1 2727
 
1.8%
1 628
 
0.4%
1 2
 
< 0.1%
ValueCountFrequency (%)
1.000789541 1
< 0.1%
1.000540754 1
< 0.1%
1.000414901 1
< 0.1%
1.000405056 1
< 0.1%
1.000326735 1
< 0.1%

ama_volume_mea_wk1
Real number (ℝ)

ZEROS 

Distinct593
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01095333334
Minimum-1.000000017
Maximum1.000000061
Zeros148355
Zeros (%)98.9%
Negative1
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:52.938905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.000000017
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.000000061
Range2.000000078
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1041477964
Coefficient of variation (CV)9.508319805
Kurtosis86.20438037
Mean0.01095333334
Median Absolute Deviation (MAD)0
Skewness9.379590113
Sum1643.000002
Variance0.01084676349
MonotonicityNot monotonic
2024-06-11T19:35:53.016269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148355
98.9%
1 202
 
0.1%
1 147
 
0.1%
1 115
 
0.1%
1 57
 
< 0.1%
1 47
 
< 0.1%
1 40
 
< 0.1%
1 32
 
< 0.1%
1 29
 
< 0.1%
1 26
 
< 0.1%
Other values (583) 950
 
0.6%
ValueCountFrequency (%)
-1.000000017 1
 
< 0.1%
0 148355
98.9%
1 147
 
0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1.000000061 1
< 0.1%
1.000000042 1
< 0.1%
1.000000031 1
< 0.1%
1.000000028 1
< 0.1%
1.000000026 1
< 0.1%

voice_mts_in_dwork_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct105957
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.144454744
Minimum0
Maximum1.480453014
Zeros16814
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:53.089637image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.127972789
median1.270240292
Q31.393927098
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.2659543092

Descriptive statistics

Standard deviation0.4277449972
Coefficient of variation (CV)0.373754401
Kurtosis2.831359703
Mean1.144454744
Median Absolute Deviation (MAD)0.1317066824
Skewness-2.024184888
Sum171668.2116
Variance0.1829657827
MonotonicityNot monotonic
2024-06-11T19:35:53.260710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 18910
 
12.6%
0 16814
 
11.2%
1.164401954 64
 
< 0.1%
1.260942818 55
 
< 0.1%
1.31316983 39
 
< 0.1%
1.345493163 38
 
< 0.1%
1.383209542 34
 
< 0.1%
1.367400612 31
 
< 0.1%
1.220903412 30
 
< 0.1%
1.235717839 30
 
< 0.1%
Other values (105947) 113955
76.0%
ValueCountFrequency (%)
0 16814
11.2%
1.000000008 1
 
< 0.1%
1.000000048 1
 
< 0.1%
1.000000158 1
 
< 0.1%
1.000000395 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 18910
12.6%
1.480295305 1
 
< 0.1%
1.480285874 1
 
< 0.1%
1.48028486 1
 
< 0.1%
1.480272606 1
 
< 0.1%

num_act_days_min_mnt3
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.961123305
Minimum0
Maximum5.324077125
Zeros20708
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:53.320825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.921812056
median4.786566308
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)2.40226507

Descriptive statistics

Standard deviation1.879690189
Coefficient of variation (CV)0.4745346318
Kurtosis-0.0005695340517
Mean3.961123305
Median Absolute Deviation (MAD)0.5375108171
Skewness-1.222646086
Sum594168.4957
Variance3.533235206
MonotonicityNot monotonic
2024-06-11T19:35:53.370725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.324077125 70507
47.0%
0 20708
 
13.8%
4.786566308 20430
 
13.6%
4.210401996 11693
 
7.8%
3.590290394 8542
 
5.7%
2.921812056 6970
 
4.6%
2.206948961 5811
 
3.9%
1.480453014 5339
 
3.6%
ValueCountFrequency (%)
0 20708
13.8%
1.480453014 5339
 
3.6%
2.206948961 5811
 
3.9%
2.921812056 6970
 
4.6%
3.590290394 8542
5.7%
ValueCountFrequency (%)
5.324077125 70507
47.0%
4.786566308 20430
 
13.6%
4.210401996 11693
 
7.8%
3.590290394 8542
 
5.7%
2.921812056 6970
 
4.6%

pay_avg_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1746
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.656640487
Minimum-29.1123722
Maximum72.49599656
Zeros120146
Zeros (%)80.1%
Negative3
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:53.430304image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-29.1123722
5-th percentile0
Q10
median0
Q30
95-th percentile26.82067032
Maximum72.49599656
Range101.6083688
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.872018006
Coefficient of variation (CV)2.119987152
Kurtosis1.842758632
Mean4.656640487
Median Absolute Deviation (MAD)0
Skewness1.829364862
Sum698496.0731
Variance97.45673952
MonotonicityNot monotonic
2024-06-11T19:35:53.495913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120146
80.1%
22.29933738 2806
 
1.9%
26.17309696 2571
 
1.7%
23.99960696 2208
 
1.5%
29.12504295 1706
 
1.1%
24.76754894 1675
 
1.1%
24.38962268 1365
 
0.9%
31.96388736 1082
 
0.7%
25.49022445 1079
 
0.7%
28.02437138 823
 
0.5%
Other values (1736) 14539
 
9.7%
ValueCountFrequency (%)
-29.1123722 1
 
< 0.1%
-21.16398411 1
 
< 0.1%
-10.96665166 1
 
< 0.1%
0 120146
80.1%
1.00908403 1
 
< 0.1%
ValueCountFrequency (%)
72.49599656 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%
65.37213434 1
< 0.1%

data_3g_tv_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1118
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.041067246
Minimum0
Maximum103.5858927
Zeros40297
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:53.563124image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.174761058
Q313.84160798
95-th percentile26.82067032
Maximum103.5858927
Range103.5858927
Interquartile range (IQR)13.84160798

Descriptive statistics

Standard deviation9.154842964
Coefficient of variation (CV)1.012584324
Kurtosis2.596783016
Mean9.041067246
Median Absolute Deviation (MAD)7.174761058
Skewness1.315366189
Sum1356160.087
Variance83.81114969
MonotonicityNot monotonic
2024-06-11T19:35:53.630722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40297
26.9%
2.206948961 4684
 
3.1%
3.590290394 4676
 
3.1%
4.786566308 4227
 
2.8%
5.827795843 3766
 
2.5%
1.480453014 3564
 
2.4%
6.749901739 3266
 
2.2%
7.578965206 3129
 
2.1%
8.333535892 2628
 
1.8%
2.921812056 2597
 
1.7%
Other values (1108) 77166
51.4%
ValueCountFrequency (%)
0 40297
26.9%
1.480453014 3564
 
2.4%
2.206948961 4684
 
3.1%
2.921812056 2597
 
1.7%
3.590290394 4676
 
3.1%
ValueCountFrequency (%)
103.5858927 1
< 0.1%
96.69852094 1
< 0.1%
95.35397496 1
< 0.1%
94.96646928 1
< 0.1%
89.97854062 1
< 0.1%

all_roam_clc_max_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001118321966
Minimum0
Maximum26.62102185
Zeros149991
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:53.685769image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.62102185
Range26.62102185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.150845922
Coefficient of variation (CV)134.8859511
Kurtosis22949.59071
Mean0.001118321966
Median Absolute Deviation (MAD)0
Skewness146.5303911
Sum167.7482949
Variance0.02275449218
MonotonicityNot monotonic
2024-06-11T19:35:53.737839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 149991
> 99.9%
14.64753823 6
 
< 0.1%
26.62102185 3
 
< 0.1%
ValueCountFrequency (%)
0 149991
> 99.9%
14.64753823 6
 
< 0.1%
26.62102185 3
 
< 0.1%
ValueCountFrequency (%)
26.62102185 3
 
< 0.1%
14.64753823 6
 
< 0.1%
0 149991
> 99.9%

voice_mts_in_dwork_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct135590
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9781600458
Minimum0
Maximum1.176549816
Zeros10291
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:53.800691image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.017073624
median1.036454311
Q31.067510811
95-th percentile1.125671693
Maximum1.176549816
Range1.176549816
Interquartile range (IQR)0.05043718717

Descriptive statistics

Standard deviation0.2679330346
Coefficient of variation (CV)0.2739153329
Kurtosis9.204204275
Mean0.9781600458
Median Absolute Deviation (MAD)0.02367476238
Skewness-3.303019697
Sum146724.0069
Variance0.071788111
MonotonicityNot monotonic
2024-06-11T19:35:53.873188image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10291
 
6.9%
1.064320397 2326
 
1.6%
1.10808554 853
 
0.6%
1.139222859 404
 
0.3%
1.160290336 175
 
0.1%
1.17253086 111
 
0.1%
1.176549816 42
 
< 0.1%
1.160290336 16
 
< 0.1%
1.01817803 8
 
< 0.1%
1.038409377 7
 
< 0.1%
Other values (135580) 135767
90.5%
ValueCountFrequency (%)
0 10291
6.9%
1.000000004 1
 
< 0.1%
1.000000004 1
 
< 0.1%
1.000000006 1
 
< 0.1%
1.000000033 1
 
< 0.1%
ValueCountFrequency (%)
1.176549816 42
< 0.1%
1.176266701 1
 
< 0.1%
1.176203206 1
 
< 0.1%
1.17620068 1
 
< 0.1%
1.176067363 1
 
< 0.1%

voice_mts_out_nwork_parttd_mnt3
Real number (ℝ)

ZEROS 

Distinct106773
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1964151042
Minimum-1.008165603
Maximum1.010735985
Zeros32560
Zeros (%)21.7%
Negative43993
Negative (%)29.3%
Memory size1.1 MiB
2024-06-11T19:35:53.941277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.008165603
5-th percentile-1.000222157
Q1-1.000001255
median0
Q31.000048018
95-th percentile1.000530129
Maximum1.010735985
Range2.018901587
Interquartile range (IQR)2.000049272

Descriptive statistics

Standard deviation0.8629276846
Coefficient of variation (CV)4.393387608
Kurtosis-1.546542838
Mean0.1964151042
Median Absolute Deviation (MAD)1.000016594
Skewness-0.3887989536
Sum29462.26563
Variance0.7446441889
MonotonicityNot monotonic
2024-06-11T19:35:54.020971image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32560
 
21.7%
1.000012183 206
 
0.1%
-1.000012183 185
 
0.1%
1.000108887 135
 
0.1%
-1.000108887 134
 
0.1%
1.001424332 126
 
0.1%
1.000584711 120
 
0.1%
1.00095998 116
 
0.1%
1.000300379 116
 
0.1%
-1.001424332 112
 
0.1%
Other values (106763) 116190
77.5%
ValueCountFrequency (%)
-1.008165603 1
< 0.1%
-1.008093298 1
< 0.1%
-1.007771527 1
< 0.1%
-1.007709686 1
< 0.1%
-1.007541662 1
< 0.1%
ValueCountFrequency (%)
1.010735985 1
< 0.1%
1.010325642 1
< 0.1%
1.010095525 1
< 0.1%
1.007847609 1
< 0.1%
1.00775338 1
< 0.1%

data_3g_dou_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.864325918
Minimum0
Maximum5.324077125
Zeros52766
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:54.088055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.480453014
Q33.262248815
95-th percentile5.193045981
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)3.262248815

Descriptive statistics

Standard deviation1.78938693
Coefficient of variation (CV)0.9598037082
Kurtosis-1.024701302
Mean1.864325918
Median Absolute Deviation (MAD)1.480453014
Skewness0.5256172566
Sum279648.8878
Variance3.201905584
MonotonicityNot monotonic
2024-06-11T19:35:54.150067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 52766
35.2%
1.049793044 7699
 
5.1%
5.324077125 6876
 
4.6%
1.164401954 6835
 
4.6%
1.31316983 5461
 
3.6%
1.480453014 5249
 
3.5%
1.657607816 4547
 
3.0%
1.839588705 4156
 
2.8%
2.023336405 4026
 
2.7%
2.206948961 3835
 
2.6%
Other values (19) 48550
32.4%
ValueCountFrequency (%)
0 52766
35.2%
1.049793044 7699
 
5.1%
1.164401954 6835
 
4.6%
1.31316983 5461
 
3.6%
1.480453014 5249
 
3.5%
ValueCountFrequency (%)
5.324077125 6876
4.6%
5.193045981 2699
 
1.8%
5.059834182 2068
 
1.4%
4.92436682 1926
 
1.3%
4.786566308 1905
 
1.3%

non_accum_internet_vol_std_mnt3
Real number (ℝ)

ZEROS 

Distinct123843
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.6343664
Minimum0
Maximum355.433813
Zeros24878
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:54.214446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148.56087901
median171.662374
Q3205.8993053
95-th percentile242.6832827
Maximum355.433813
Range355.433813
Interquartile range (IQR)157.3384263

Descriptive statistics

Standard deviation86.56148621
Coefficient of variation (CV)0.6199153433
Kurtosis-1.089721907
Mean139.6343664
Median Absolute Deviation (MAD)45.27607992
Skewness-0.6145928425
Sum20945154.97
Variance7492.890894
MonotonicityNot monotonic
2024-06-11T19:35:54.287955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24878
 
16.6%
1.064320397 356
 
0.2%
1.10808554 129
 
0.1%
1.139222859 116
 
0.1%
1.207704776 71
 
< 0.1%
1.38913981 51
 
< 0.1%
1.589289213 35
 
< 0.1%
12.60349394 32
 
< 0.1%
2.010130606 25
 
< 0.1%
1.798128817 23
 
< 0.1%
Other values (123833) 124284
82.9%
ValueCountFrequency (%)
0 24878
16.6%
1 1
 
< 0.1%
1 2
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
355.433813 1
< 0.1%
338.9103019 1
< 0.1%
338.4584974 1
< 0.1%
331.2735975 1
< 0.1%
330.514924 1
< 0.1%

content_clc_std_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct381
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04004238698
Minimum0
Maximum23.86280415
Zeros147179
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:54.360338image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23.86280415
Range23.86280415
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4986646196
Coefficient of variation (CV)12.45341892
Kurtosis790.7883811
Mean0.04004238698
Median Absolute Deviation (MAD)0
Skewness25.41851379
Sum6006.358047
Variance0.2486664028
MonotonicityNot monotonic
2024-06-11T19:35:54.431013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147179
98.1%
1.109461269 1392
 
0.9%
1.335271319 358
 
0.2%
1.032064727 84
 
0.1%
1.604809683 72
 
< 0.1%
1.044516778 58
 
< 0.1%
1.049793044 54
 
< 0.1%
2.178222331 26
 
< 0.1%
1.109271202 25
 
< 0.1%
1.889929983 25
 
< 0.1%
Other values (371) 727
 
0.5%
ValueCountFrequency (%)
0 147179
98.1%
1.016597909 1
 
< 0.1%
1.017387389 1
 
< 0.1%
1.020727495 2
 
< 0.1%
1.022491159 1
 
< 0.1%
ValueCountFrequency (%)
23.86280415 1
 
< 0.1%
21.67370657 1
 
< 0.1%
20.52197761 3
< 0.1%
20.48012504 1
 
< 0.1%
20.25008431 1
 
< 0.1%

content_clc_mea_wk1
Real number (ℝ)

SKEWED  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01297167208
Minimum0
Maximum27.06582606
Zeros149645
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:54.498126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27.06582606
Range27.06582606
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3961143966
Coefficient of variation (CV)30.53688022
Kurtosis2104.111489
Mean0.01297167208
Median Absolute Deviation (MAD)0
Skewness42.6741219
Sum1945.750812
Variance0.1569066152
MonotonicityNot monotonic
2024-06-11T19:35:54.567191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149645
99.8%
1.109485035 34
 
< 0.1%
1.335271319 25
 
< 0.1%
1.164401954 21
 
< 0.1%
1.148322296 19
 
< 0.1%
3.539668309 19
 
< 0.1%
1.335336222 18
 
< 0.1%
1.334752185 15
 
< 0.1%
22.40636871 11
 
< 0.1%
12.21037855 9
 
< 0.1%
Other values (91) 184
 
0.1%
ValueCountFrequency (%)
0 149645
99.8%
1.061674421 1
 
< 0.1%
1.072791017 1
 
< 0.1%
1.081584479 1
 
< 0.1%
1.084565919 1
 
< 0.1%
ValueCountFrequency (%)
27.06582606 1
 
< 0.1%
24.92704012 1
 
< 0.1%
24.76754894 1
 
< 0.1%
22.72175825 1
 
< 0.1%
22.40636871 11
< 0.1%

pay_p2p_in_sum_min_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.471299307 × 10-5
Minimum0
Maximum2.206948961
Zeros149999
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:54.619905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.005698317714
Coefficient of variation (CV)387.2983346
Kurtosis150000
Mean1.471299307 × 10-5
Median Absolute Deviation (MAD)0
Skewness387.2983346
Sum2.206948961
Variance3.247082477 × 10-5
MonotonicityNot monotonic
2024-06-11T19:35:54.665224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149999
> 99.9%
2.206948961 1
 
< 0.1%
ValueCountFrequency (%)
0 149999
> 99.9%
2.206948961 1
 
< 0.1%
ValueCountFrequency (%)
2.206948961 1
 
< 0.1%
0 149999
> 99.9%

conn_com_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct120315
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9775908939
Minimum0
Maximum1.480453014
Zeros12245
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:54.726264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001254907
median1.01386291
Q31.072821112
95-th percentile1.288377311
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.07156620534

Descriptive statistics

Standard deviation0.3062574459
Coefficient of variation (CV)0.3132777195
Kurtosis5.665206921
Mean0.9775908939
Median Absolute Deviation (MAD)0.01384489935
Skewness-2.491230829
Sum146638.6341
Variance0.09379362314
MonotonicityNot monotonic
2024-06-11T19:35:54.886964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12245
 
8.2%
1.006406835 1676
 
1.1%
1.023762432 771
 
0.5%
1.001666435 483
 
0.3%
1.049793044 390
 
0.3%
1.000750704 303
 
0.2%
1.000425155 256
 
0.2%
1.013872843 247
 
0.2%
1.082760975 228
 
0.2%
1.000273218 213
 
0.1%
Other values (120305) 133188
88.8%
ValueCountFrequency (%)
0 12245
8.2%
1.000000041 1
 
< 0.1%
1.000000104 1
 
< 0.1%
1.000000122 1
 
< 0.1%
1.000000125 2
 
< 0.1%
ValueCountFrequency (%)
1.480453014 129
0.1%
1.479845049 1
 
< 0.1%
1.479748675 1
 
< 0.1%
1.479615992 1
 
< 0.1%
1.479536287 1
 
< 0.1%

voice_in_life_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct72516
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02018299465
Minimum-1.013933914
Maximum1.013328544
Zeros51678
Zeros (%)34.5%
Negative47648
Negative (%)31.8%
Memory size1.1 MiB
2024-06-11T19:35:54.955604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.013933914
5-th percentile-1.000347603
Q1-1.000001331
median0
Q31.000002242
95-th percentile1.000384401
Maximum1.013328544
Range2.027262458
Interquartile range (IQR)2.000003573

Descriptive statistics

Standard deviation0.8095848515
Coefficient of variation (CV)40.11222644
Kurtosis-1.472575125
Mean0.02018299465
Median Absolute Deviation (MAD)1.00000174
Skewness-0.03673287445
Sum3027.449197
Variance0.6554276317
MonotonicityNot monotonic
2024-06-11T19:35:55.030353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51678
34.5%
1.000012183 396
 
0.3%
-1.000012183 387
 
0.3%
1.000003051 314
 
0.2%
-1.000003051 248
 
0.2%
1.000108887 241
 
0.2%
-1.000108887 220
 
0.1%
1.000001357 195
 
0.1%
1.000000763 181
 
0.1%
-1.000001357 177
 
0.1%
Other values (72506) 95963
64.0%
ValueCountFrequency (%)
-1.013933914 1
< 0.1%
-1.013328544 1
< 0.1%
-1.012819141 1
< 0.1%
-1.01281815 1
< 0.1%
-1.012279657 1
< 0.1%
ValueCountFrequency (%)
1.013328544 2
< 0.1%
1.013248726 1
< 0.1%
1.013089728 1
< 0.1%
1.013072743 1
< 0.1%
1.012617846 1
< 0.1%

pay_avg_std_mnt3
Real number (ℝ)

ZEROS 

Distinct36430
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.22691084
Minimum0
Maximum54.76103743
Zeros25969
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.101620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.5837339
median16.50961337
Q318.90462444
95-th percentile23.80699828
Maximum54.76103743
Range54.76103743
Interquartile range (IQR)7.320890542

Descriptive statistics

Standard deviation7.829402124
Coefficient of variation (CV)0.5503234126
Kurtosis-0.01420832384
Mean14.22691084
Median Absolute Deviation (MAD)2.918251266
Skewness-0.6105693603
Sum2134036.626
Variance61.29953763
MonotonicityNot monotonic
2024-06-11T19:35:55.168650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25969
 
17.3%
15.69616379 2628
 
1.8%
17.09828818 2061
 
1.4%
15.93930484 1673
 
1.1%
15.37178221 1637
 
1.1%
17.58962437 1514
 
1.0%
14.59397912 1445
 
1.0%
18.9080105 1412
 
0.9%
17.67972932 1406
 
0.9%
17.7356038 1354
 
0.9%
Other values (36420) 108901
72.6%
ValueCountFrequency (%)
0 25969
17.3%
1.000809897 2
 
< 0.1%
1.004487315 1
 
< 0.1%
1.005237753 1
 
< 0.1%
1.0060417 1
 
< 0.1%
ValueCountFrequency (%)
54.76103743 1
< 0.1%
49.10858274 1
< 0.1%
48.8733107 1
< 0.1%
48.47341904 1
< 0.1%
46.86740996 1
< 0.1%

voice_in_roam_clc_min_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.222832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:55.268520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_out_cmpttrs_td_cntmax_mnt1
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.459889138
Minimum0
Maximum39.8678771
Zeros42377
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.328330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.921812056
Q37.174761058
95-th percentile14.03872817
Maximum39.8678771
Range39.8678771
Interquartile range (IQR)7.174761058

Descriptive statistics

Standard deviation4.747920837
Coefficient of variation (CV)1.064582704
Kurtosis1.60797674
Mean4.459889138
Median Absolute Deviation (MAD)2.921812056
Skewness1.299237186
Sum668983.3707
Variance22.54275228
MonotonicityNot monotonic
2024-06-11T19:35:55.404827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42377
28.3%
1.480453014 15613
 
10.4%
2.206948961 11340
 
7.6%
2.921812056 8825
 
5.9%
3.590290394 7398
 
4.9%
4.210401996 6124
 
4.1%
4.786566308 5239
 
3.5%
5.324077125 4672
 
3.1%
5.827795843 4010
 
2.7%
6.30189811 3454
 
2.3%
Other values (217) 40948
27.3%
ValueCountFrequency (%)
0 42377
28.3%
1.480453014 15613
 
10.4%
2.206948961 11340
 
7.6%
2.921812056 8825
 
5.9%
3.590290394 7398
 
4.9%
ValueCountFrequency (%)
39.8678771 1
< 0.1%
38.35003304 1
< 0.1%
36.68640128 1
< 0.1%
36.41014679 1
< 0.1%
36.12845212 1
< 0.1%

voice_in_short_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct23370
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5383218604
Minimum0
Maximum1.480453014
Zeros69414
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.480088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000036955
Q31.000392144
95-th percentile1.003474223
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000392144

Descriptive statistics

Standard deviation0.4996580882
Coefficient of variation (CV)0.9281772207
Kurtosis-1.97702347
Mean0.5383218604
Median Absolute Deviation (MAD)0.004557581101
Skewness-0.1488394204
Sum80748.27906
Variance0.2496582051
MonotonicityNot monotonic
2024-06-11T19:35:55.548594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69414
46.3%
1.000609725 1220
 
0.8%
1.000273218 1138
 
0.8%
1.001666435 1132
 
0.8%
1.000750704 1132
 
0.8%
1.000425155 1130
 
0.8%
1.000362834 1126
 
0.8%
1.000505029 1112
 
0.7%
1.000313275 1082
 
0.7%
1.000946895 1057
 
0.7%
Other values (23360) 70457
47.0%
ValueCountFrequency (%)
0 69414
46.3%
1.000001326 1
 
< 0.1%
1.000002292 1
 
< 0.1%
1.00000232 1
 
< 0.1%
1.000002378 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.369900835 1
< 0.1%
1.34005959 1
< 0.1%
1.31316983 1
< 0.1%
1.300924603 1
< 0.1%

voice_in_tar_dur_min_mnt3
Real number (ℝ)

ZEROS 

Distinct12190
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.57161346
Minimum0
Maximum130.1873165
Zeros44827
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.618854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median36.31686441
Q358.36615774
95-th percentile79.98803845
Maximum130.1873165
Range130.1873165
Interquartile range (IQR)58.36615774

Descriptive statistics

Standard deviation28.68750431
Coefficient of variation (CV)0.8297994058
Kurtosis-1.236298362
Mean34.57161346
Median Absolute Deviation (MAD)27.48552586
Skewness0.155134341
Sum5185742.02
Variance822.9729035
MonotonicityNot monotonic
2024-06-11T19:35:55.692255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44827
29.9%
9.027097853 216
 
0.1%
7.578965206 214
 
0.1%
8.687248223 214
 
0.1%
8.333535892 198
 
0.1%
10.55454345 185
 
0.1%
6.749901739 185
 
0.1%
9.669720902 183
 
0.1%
7.964623589 183
 
0.1%
11.61519305 182
 
0.1%
Other values (12180) 103413
68.9%
ValueCountFrequency (%)
0 44827
29.9%
1.480453014 114
 
0.1%
2.206948961 70
 
< 0.1%
2.921812056 43
 
< 0.1%
3.590290394 48
 
< 0.1%
ValueCountFrequency (%)
130.1873165 1
< 0.1%
128.0998238 1
< 0.1%
127.520637 1
< 0.1%
127.4566451 1
< 0.1%
126.2254388 1
< 0.1%

gprs_tar_vol_max_mnt3
Real number (ℝ)

ZEROS 

Distinct60279
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.90542996
Minimum0
Maximum326.9731659
Zeros43990
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.763489image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40.13440858
Q3112.0752599
95-th percentile195.704987
Maximum326.9731659
Range326.9731659
Interquartile range (IQR)112.0752599

Descriptive statistics

Standard deviation67.55792225
Coefficient of variation (CV)1.073960106
Kurtosis-0.3577502748
Mean62.90542996
Median Absolute Deviation (MAD)40.13440858
Skewness0.8982206532
Sum9435814.494
Variance4564.072859
MonotonicityNot monotonic
2024-06-11T19:35:55.835925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43990
29.3%
22.29933738 1520
 
1.0%
1.480453014 1194
 
0.8%
2.206948961 618
 
0.4%
2.921812056 433
 
0.3%
3.590290394 428
 
0.3%
4.786566308 359
 
0.2%
4.210401996 280
 
0.2%
5.324077125 264
 
0.2%
29.12504295 256
 
0.2%
Other values (60269) 100658
67.1%
ValueCountFrequency (%)
0 43990
29.3%
1.002453611 8
 
< 0.1%
1.002834978 2
 
< 0.1%
1.003138066 1
 
< 0.1%
1.00324232 1
 
< 0.1%
ValueCountFrequency (%)
326.9731659 1
< 0.1%
324.2002583 1
< 0.1%
321.6552264 1
< 0.1%
321.2024869 1
< 0.1%
318.8845847 1
< 0.1%

vas_clc_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct15540
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.889942008
Minimum0
Maximum51.42919786
Zeros63561
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:55.907165image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.03203978
Q32.082028601
95-th percentile7.66617706
Maximum51.42919786
Range51.42919786
Interquartile range (IQR)2.082028601

Descriptive statistics

Standard deviation2.997851857
Coefficient of variation (CV)1.586213674
Kurtosis13.78336452
Mean1.889942008
Median Absolute Deviation (MAD)1.03203978
Skewness3.018188401
Sum283491.3012
Variance8.987115756
MonotonicityNot monotonic
2024-06-11T19:35:55.979406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63561
42.4%
1.1418941 7280
 
4.9%
1.008746121 4981
 
3.3%
1.422065134 3771
 
2.5%
1.008736187 2589
 
1.7%
1.746290425 2131
 
1.4%
1.032054747 1673
 
1.1%
5.910345837 1410
 
0.9%
2.082028601 1354
 
0.9%
1.032019827 1134
 
0.8%
Other values (15530) 60116
40.1%
ValueCountFrequency (%)
0 63561
42.4%
1.000000422 7
 
< 0.1%
1.000000666 38
 
< 0.1%
1.000001379 7
 
< 0.1%
1.000148847 1
 
< 0.1%
ValueCountFrequency (%)
51.42919786 1
< 0.1%
32.52315047 1
< 0.1%
32.31501015 1
< 0.1%
30.95746198 1
< 0.1%
30.10816654 1
< 0.1%

voice_out_cmpttrs_td_cntmin_mnt1
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.519635109
Minimum0
Maximum39.14133654
Zeros98250
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:56.050824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.206948961
95-th percentile7.964623589
Maximum39.14133654
Range39.14133654
Interquartile range (IQR)2.206948961

Descriptive statistics

Standard deviation2.880919124
Coefficient of variation (CV)1.895796634
Kurtosis8.183045755
Mean1.519635109
Median Absolute Deviation (MAD)0
Skewness2.599236835
Sum227945.2664
Variance8.299694999
MonotonicityNot monotonic
2024-06-11T19:35:56.125196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98250
65.5%
1.480453014 12880
 
8.6%
2.206948961 7754
 
5.2%
2.921812056 5478
 
3.7%
3.590290394 3946
 
2.6%
4.210401996 3216
 
2.1%
4.786566308 2518
 
1.7%
5.324077125 2047
 
1.4%
5.827795843 1632
 
1.1%
6.30189811 1433
 
1.0%
Other values (120) 10846
 
7.2%
ValueCountFrequency (%)
0 98250
65.5%
1.480453014 12880
 
8.6%
2.206948961 7754
 
5.2%
2.921812056 5478
 
3.7%
3.590290394 3946
 
2.6%
ValueCountFrequency (%)
39.14133654 1
< 0.1%
32.62957291 1
< 0.1%
30.47779396 1
< 0.1%
28.75032958 1
< 0.1%
27.96680086 1
< 0.1%

data_3g_tar_vol_max_mnt3
Real number (ℝ)

ZEROS 

Distinct106816
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.1505845
Minimum0
Maximum364.7341292
Zeros40297
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:56.196510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median159.1952208
Q3208.047986
95-th percentile254.6467271
Maximum364.7341292
Range364.7341292
Interquartile range (IQR)208.047986

Descriptive statistics

Standard deviation95.61372224
Coefficient of variation (CV)0.7461044565
Kurtosis-1.456217765
Mean128.1505845
Median Absolute Deviation (MAD)68.69437469
Skewness-0.2600952352
Sum19222587.68
Variance9141.983881
MonotonicityNot monotonic
2024-06-11T19:35:56.363766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40297
 
26.9%
1.480453014 187
 
0.1%
22.29933738 160
 
0.1%
2.206948961 112
 
0.1%
2.921812056 74
 
< 0.1%
4.210401996 63
 
< 0.1%
3.590290394 61
 
< 0.1%
4.786566308 54
 
< 0.1%
29.12504295 46
 
< 0.1%
5.324077125 46
 
< 0.1%
Other values (106806) 108900
72.6%
ValueCountFrequency (%)
0 40297
26.9%
1.001468335 3
 
< 0.1%
1.002098514 2
 
< 0.1%
1.002453611 23
 
< 0.1%
1.00324232 7
 
< 0.1%
ValueCountFrequency (%)
364.7341292 1
< 0.1%
355.9845479 1
< 0.1%
355.3972651 1
< 0.1%
350.6294156 1
< 0.1%
346.95786 1
< 0.1%

non_accum_internet_vol_min_mnt3
Real number (ℝ)

ZEROS 

Distinct74996
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.32998707
Minimum-115.1008201
Maximum330.1954128
Zeros68829
Zeros (%)45.9%
Negative2901
Negative (%)1.9%
Memory size1.1 MiB
2024-06-11T19:35:56.434208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-115.1008201
5-th percentile0
Q10
median2.63543356
Q3137.568791
95-th percentile218.2809523
Maximum330.1954128
Range445.2962329
Interquartile range (IQR)137.568791

Descriptive statistics

Standard deviation82.76740626
Coefficient of variation (CV)1.327890638
Kurtosis-0.7695178579
Mean62.32998707
Median Absolute Deviation (MAD)2.63543356
Skewness0.8414459957
Sum9349498.06
Variance6850.44354
MonotonicityNot monotonic
2024-06-11T19:35:56.503915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68829
45.9%
1.480453014 415
 
0.3%
2.206948961 251
 
0.2%
2.921812056 209
 
0.1%
3.590290394 197
 
0.1%
4.210401996 154
 
0.1%
4.786566308 145
 
0.1%
5.827795843 117
 
0.1%
5.324077125 112
 
0.1%
6.30189811 92
 
0.1%
Other values (74986) 79479
53.0%
ValueCountFrequency (%)
-115.1008201 1
< 0.1%
-114.9051414 1
< 0.1%
-114.851665 1
< 0.1%
-114.8015105 1
< 0.1%
-114.8007186 1
< 0.1%
ValueCountFrequency (%)
330.1954128 1
< 0.1%
329.3838706 1
< 0.1%
321.6776698 1
< 0.1%
321.1347884 1
< 0.1%
313.8177884 1
< 0.1%

gprs_tar_vol_max_mnt1
Real number (ℝ)

ZEROS 

Distinct41909
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.64846607
Minimum0
Maximum311.5463956
Zeros62151
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:56.571795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.28987309
Q364.68623774
95-th percentile173.4450847
Maximum311.5463956
Range311.5463956
Interquartile range (IQR)64.68623774

Descriptive statistics

Standard deviation58.29103607
Coefficient of variation (CV)1.335465855
Kurtosis1.105455346
Mean43.64846607
Median Absolute Deviation (MAD)19.28987309
Skewness1.416133356
Sum6547269.911
Variance3397.844886
MonotonicityNot monotonic
2024-06-11T19:35:56.642878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62151
41.4%
1.480453014 1193
 
0.8%
22.29933738 1158
 
0.8%
2.206948961 779
 
0.5%
2.921812056 546
 
0.4%
3.590290394 455
 
0.3%
4.786566308 435
 
0.3%
4.210401996 371
 
0.2%
5.324077125 300
 
0.2%
29.12504295 282
 
0.2%
Other values (41899) 82330
54.9%
ValueCountFrequency (%)
0 62151
41.4%
1.001468335 2
 
< 0.1%
1.002453611 7
 
< 0.1%
1.00324232 2
 
< 0.1%
1.003675345 1
 
< 0.1%
ValueCountFrequency (%)
311.5463956 1
< 0.1%
305.2990139 1
< 0.1%
303.2451493 1
< 0.1%
298.1691989 1
< 0.1%
297.0404416 1
< 0.1%

conn_com_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct98860
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8609308574
Minimum0
Maximum1.207704776
Zeros23542
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:56.714448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000391768
median1.003388196
Q31.014303239
95-th percentile1.115008651
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0.013911471

Descriptive statistics

Standard deviation0.3732730378
Coefficient of variation (CV)0.4335691241
Kurtosis1.487112069
Mean0.8609308574
Median Absolute Deviation (MAD)0.004973886486
Skewness-1.843561
Sum129139.6286
Variance0.1393327607
MonotonicityNot monotonic
2024-06-11T19:35:56.787201image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23542
 
15.7%
1.164401954 3030
 
2.0%
1.207704776 907
 
0.6%
1.049793044 888
 
0.6%
1.023762432 608
 
0.4%
1.013872843 497
 
0.3%
1.153015916 463
 
0.3%
1.00908403 409
 
0.3%
1.006406835 366
 
0.2%
1.003675345 318
 
0.2%
Other values (98850) 118972
79.3%
ValueCountFrequency (%)
0 23542
15.7%
1.000000128 1
 
< 0.1%
1.00000029 1
 
< 0.1%
1.000000352 1
 
< 0.1%
1.000000554 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 907
0.6%
1.205527505 1
 
< 0.1%
1.205237737 1
 
< 0.1%
1.204473183 1
 
< 0.1%
1.204409357 1
 
< 0.1%

voice_out_td_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct31342
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.843319261
Minimum0
Maximum33.74209309
Zeros11677
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:56.854871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.113109158
median5.52409418
Q38.168615765
95-th percentile12.50266127
Maximum33.74209309
Range33.74209309
Interquartile range (IQR)5.055506607

Descriptive statistics

Standard deviation3.743305591
Coefficient of variation (CV)0.6406128819
Kurtosis0.4620775147
Mean5.843319261
Median Absolute Deviation (MAD)2.520239212
Skewness0.6070150469
Sum876497.8891
Variance14.01233675
MonotonicityNot monotonic
2024-06-11T19:35:56.927451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11677
 
7.8%
1.064320397 2081
 
1.4%
1.10808554 732
 
0.5%
1.207704776 632
 
0.4%
1.23367744 489
 
0.3%
1.38913981 353
 
0.2%
1.139222859 324
 
0.2%
1.251588959 309
 
0.2%
1.59627656 302
 
0.2%
1.589289213 260
 
0.2%
Other values (31332) 132841
88.6%
ValueCountFrequency (%)
0 11677
7.8%
1.064320397 2081
 
1.4%
1.069446038 32
 
< 0.1%
1.075498494 28
 
< 0.1%
1.082760975 48
 
< 0.1%
ValueCountFrequency (%)
33.74209309 1
< 0.1%
31.55155845 1
< 0.1%
30.79295916 1
< 0.1%
30.73204384 1
< 0.1%
28.90375211 1
< 0.1%

voice_in_mts_avg_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct136355
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03422366095
Minimum-26.2152877
Maximum33.33109301
Zeros8651
Zeros (%)5.8%
Negative69494
Negative (%)46.3%
Memory size1.1 MiB
2024-06-11T19:35:56.996857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-26.2152877
5-th percentile-11.45141975
Q1-4.293067817
median0
Q34.30205989
95-th percentile11.49124254
Maximum33.33109301
Range59.54638072
Interquartile range (IQR)8.595127707

Descriptive statistics

Standard deviation6.840551643
Coefficient of variation (CV)199.8778463
Kurtosis0.1675752395
Mean0.03422366095
Median Absolute Deviation (MAD)4.298114105
Skewness-0.005427616901
Sum5133.549143
Variance46.79314678
MonotonicityNot monotonic
2024-06-11T19:35:57.064693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8651
 
5.8%
1.207457957 19
 
< 0.1%
1.105899739 19
 
< 0.1%
1.021352973 18
 
< 0.1%
1.011924485 18
 
< 0.1%
1.039632891 17
 
< 0.1%
1.133248024 17
 
< 0.1%
-1.088358468 15
 
< 0.1%
-1.021352973 15
 
< 0.1%
1.054235958 15
 
< 0.1%
Other values (136345) 141196
94.1%
ValueCountFrequency (%)
-26.2152877 1
< 0.1%
-24.98909031 1
< 0.1%
-24.96721028 1
< 0.1%
-24.78690608 1
< 0.1%
-24.67341664 1
< 0.1%
ValueCountFrequency (%)
33.33109301 1
< 0.1%
28.73736225 1
< 0.1%
27.09123852 1
< 0.1%
26.85028434 1
< 0.1%
26.65906821 1
< 0.1%

voice_out_cmpttrs_avg_dumea_mnt1
Real number (ℝ)

ZEROS 

Distinct36092
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.52965016
Minimum0
Maximum66.90919409
Zeros42377
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:57.133575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.12747284
Q325.53653586
95-th percentile35.84108027
Maximum66.90919409
Range66.90919409
Interquartile range (IQR)25.53653586

Descriptive statistics

Standard deviation12.5134405
Coefficient of variation (CV)0.7570299661
Kurtosis-0.9580480269
Mean16.52965016
Median Absolute Deviation (MAD)9.457751939
Skewness0.02038225264
Sum2479447.524
Variance156.5861931
MonotonicityNot monotonic
2024-06-11T19:35:57.203802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42377
28.3%
8.687248223 7998
 
5.3%
12.79226812 4998
 
3.3%
15.65849494 3585
 
2.4%
17.89928393 2632
 
1.8%
19.75525126 1852
 
1.2%
21.34785349 1301
 
0.9%
22.74766418 1021
 
0.7%
16.83786607 936
 
0.6%
14.32730559 894
 
0.6%
Other values (36082) 82406
54.9%
ValueCountFrequency (%)
0 42377
28.3%
8.687248223 7998
 
5.3%
8.834524041 1
 
< 0.1%
8.848204161 1
 
< 0.1%
8.858829425 1
 
< 0.1%
ValueCountFrequency (%)
66.90919409 1
< 0.1%
64.8655472 1
< 0.1%
64.70261158 1
< 0.1%
64.62059507 1
< 0.1%
63.38049784 1
< 0.1%

Ama_rchrgmnt_sum_max_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:57.259456image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:35:57.307198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_out_cmpttrs_td_cntmea_mnt3
Real number (ℝ)

ZEROS 

Distinct1881
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.201920201
Minimum0
Maximum35.42652239
Zeros25720
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:57.366514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.023762432
median1.900753899
Q34.551495545
95-th percentile10.38913433
Maximum35.42652239
Range35.42652239
Interquartile range (IQR)3.527733113

Descriptive statistics

Standard deviation3.417750428
Coefficient of variation (CV)1.067406498
Kurtosis3.613580883
Mean3.201920201
Median Absolute Deviation (MAD)1.581560925
Skewness1.740398197
Sum480288.0302
Variance11.68101799
MonotonicityNot monotonic
2024-06-11T19:35:57.439823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25720
 
17.1%
1.006406835 6807
 
4.5%
1.023762432 4955
 
3.3%
1.049793044 4130
 
2.8%
1.082760975 3556
 
2.4%
1.121317553 3124
 
2.1%
1.164401954 2922
 
1.9%
1.211169962 2481
 
1.7%
1.260942818 2396
 
1.6%
1.31316983 2246
 
1.5%
Other values (1871) 91663
61.1%
ValueCountFrequency (%)
0 25720
17.1%
1.006406835 6807
 
4.5%
1.00757098 48
 
< 0.1%
1.00908403 33
 
< 0.1%
1.011100838 60
 
< 0.1%
ValueCountFrequency (%)
35.42652239 1
< 0.1%
34.08600326 1
< 0.1%
32.51949313 1
< 0.1%
31.28254066 1
< 0.1%
30.47382455 1
< 0.1%

pay_p2p_out_sum_mea_wk1
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01979191082
Minimum-71.81865295
Maximum0
Zeros149820
Zeros (%)99.9%
Negative180
Negative (%)0.1%
Memory size1.1 MiB
2024-06-11T19:35:57.510977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-71.81865295
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range71.81865295
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6889248547
Coefficient of variation (CV)-34.80840535
Kurtosis2815.761673
Mean-0.01979191082
Median Absolute Deviation (MAD)0
Skewness-47.25238948
Sum-2968.786623
Variance0.4746174554
MonotonicityNot monotonic
2024-06-11T19:35:57.583541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149820
99.9%
-6.749901739 27
 
< 0.1%
-10.26911687 21
 
< 0.1%
-12.79226812 14
 
< 0.1%
-22.29933738 10
 
< 0.1%
-4.210401996 9
 
< 0.1%
-8.687248223 8
 
< 0.1%
-11.61519305 8
 
< 0.1%
-24.76754894 6
 
< 0.1%
-16.45925281 6
 
< 0.1%
Other values (48) 71
 
< 0.1%
ValueCountFrequency (%)
-71.81865295 1
< 0.1%
-53.48917801 1
< 0.1%
-51.88391118 1
< 0.1%
-49.94074411 1
< 0.1%
-48.7308926 1
< 0.1%
ValueCountFrequency (%)
0 149820
99.9%
-1.480453014 1
 
< 0.1%
-2.206948961 1
 
< 0.1%
-2.921812056 1
 
< 0.1%
-4.210401996 9
 
< 0.1%

com_num_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1701
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7909344625
Minimum0
Maximum2.206948961
Zeros46323
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:57.657079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.03324115
Q31.164401954
95-th percentile1.480453014
Maximum2.206948961
Range2.206948961
Interquartile range (IQR)1.164401954

Descriptive statistics

Standard deviation0.5440940364
Coefficient of variation (CV)0.6879129211
Kurtosis-1.240371191
Mean0.7909344625
Median Absolute Deviation (MAD)0.1523327707
Skewness-0.620658928
Sum118640.1694
Variance0.2960383205
MonotonicityNot monotonic
2024-06-11T19:35:57.726868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46323
30.9%
1.164401954 7859
 
5.2%
1.082760975 6190
 
4.1%
1.480453014 6006
 
4.0%
1.049793044 4773
 
3.2%
1.03324115 3756
 
2.5%
1.260942818 3235
 
2.2%
1.023762432 3175
 
2.1%
1.113213566 2597
 
1.7%
1.017830633 2449
 
1.6%
Other values (1691) 63637
42.4%
ValueCountFrequency (%)
0 46323
30.9%
1.000052132 1
 
< 0.1%
1.000055279 1
 
< 0.1%
1.000088167 1
 
< 0.1%
1.00012768 1
 
< 0.1%
ValueCountFrequency (%)
2.206948961 215
0.1%
2.023336405 5
 
< 0.1%
1.997059825 1
 
< 0.1%
1.962026024 23
 
< 0.1%
1.93973744 1
 
< 0.1%

gprs_tar_vol_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct68822
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.95324463
Minimum0
Maximum282.9624908
Zeros43990
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:57.884697image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.78929795
Q374.28316149
95-th percentile149.7067384
Maximum282.9624908
Range282.9624908
Interquartile range (IQR)74.28316149

Descriptive statistics

Standard deviation51.7239883
Coefficient of variation (CV)1.204192809
Kurtosis0.4525713061
Mean42.95324463
Median Absolute Deviation (MAD)20.78929795
Skewness1.18397111
Sum6442986.694
Variance2675.370965
MonotonicityNot monotonic
2024-06-11T19:35:57.950331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43990
29.3%
5.988934212 870
 
0.6%
1.006406835 799
 
0.5%
1.023762432 614
 
0.4%
1.049793044 443
 
0.3%
1.082760975 333
 
0.2%
1.164401954 228
 
0.2%
1.121317553 212
 
0.1%
1.367400612 198
 
0.1%
1.260942818 190
 
0.1%
Other values (68812) 102123
68.1%
ValueCountFrequency (%)
0 43990
29.3%
1.000017832 8
 
< 0.1%
1.000020675 2
 
< 0.1%
1.000022944 1
 
< 0.1%
1.000023726 1
 
< 0.1%
ValueCountFrequency (%)
282.9624908 1
< 0.1%
282.0685781 1
< 0.1%
275.9117796 1
< 0.1%
273.3413412 1
< 0.1%
272.2965893 1
< 0.1%

conn_in_uniq_cnt_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct1408
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.900739357
Minimum0
Maximum45.48502579
Zeros4419
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.015700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.023762432
Q12.569415055
median4.503643389
Q36.676915237
95-th percentile10.507589
Maximum45.48502579
Range45.48502579
Interquartile range (IQR)4.107500181

Descriptive statistics

Standard deviation3.088455281
Coefficient of variation (CV)0.6302019055
Kurtosis1.840538027
Mean4.900739357
Median Absolute Deviation (MAD)2.054092876
Skewness0.9905160194
Sum735110.9035
Variance9.538556023
MonotonicityNot monotonic
2024-06-11T19:35:58.080771image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4419
 
2.9%
1.006406835 1817
 
1.2%
1.023762432 1463
 
1.0%
1.049793044 1207
 
0.8%
2.921812056 1164
 
0.8%
2.206948961 1164
 
0.8%
1.480453014 1155
 
0.8%
2.569415055 1132
 
0.8%
3.036661093 1109
 
0.7%
3.262248815 1108
 
0.7%
Other values (1398) 134262
89.5%
ValueCountFrequency (%)
0 4419
2.9%
1.006406835 1817
1.2%
1.00757098 37
 
< 0.1%
1.00908403 35
 
< 0.1%
1.011100838 53
 
< 0.1%
ValueCountFrequency (%)
45.48502579 1
< 0.1%
28.68681557 1
< 0.1%
28.42032443 1
< 0.1%
27.77301537 1
< 0.1%
27.00345373 1
< 0.1%

voice_mts_out_nrest_partmea_wk1
Real number (ℝ)

ZEROS 

Distinct9406
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3229990054
Minimum0
Maximum1.480453014
Zeros102428
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.143030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000377062
95-th percentile1.024992934
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000377062

Descriptive statistics

Standard deviation0.4748271612
Coefficient of variation (CV)1.470057657
Kurtosis-1.331596706
Mean0.3229990054
Median Absolute Deviation (MAD)0
Skewness0.7999847559
Sum48449.85082
Variance0.225460833
MonotonicityNot monotonic
2024-06-11T19:35:58.212040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102428
68.3%
1.00757098 259
 
0.2%
1.002923264 245
 
0.2%
1.00908403 241
 
0.2%
1.023762432 240
 
0.2%
1.013872843 239
 
0.2%
1.003675345 238
 
0.2%
1.011100838 234
 
0.2%
1.004165221 231
 
0.2%
1.017830633 230
 
0.2%
Other values (9396) 45415
30.3%
ValueCountFrequency (%)
0 102428
68.3%
1.000000227 1
 
< 0.1%
1.000000669 1
 
< 0.1%
1.000000704 1
 
< 0.1%
1.000000925 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 200
0.1%
1.471579263 1
 
< 0.1%
1.465088373 1
 
< 0.1%
1.464375657 2
 
< 0.1%
1.463593609 1
 
< 0.1%

voice_in_fix_tar_dur_min_mnt1
Real number (ℝ)

ZEROS 

Distinct355
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1817451605
Minimum0
Maximum85.84510106
Zeros148185
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.281066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85.84510106
Range85.84510106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.131214612
Coefficient of variation (CV)11.72638989
Kurtosis380.8061018
Mean0.1817451605
Median Absolute Deviation (MAD)0
Skewness17.23138903
Sum27261.77407
Variance4.542075722
MonotonicityNot monotonic
2024-06-11T19:35:58.347904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148185
98.8%
1.480453014 67
 
< 0.1%
6.30189811 55
 
< 0.1%
7.174761058 55
 
< 0.1%
9.354248899 53
 
< 0.1%
6.749901739 53
 
< 0.1%
5.324077125 50
 
< 0.1%
4.786566308 50
 
< 0.1%
8.687248223 48
 
< 0.1%
4.210401996 43
 
< 0.1%
Other values (345) 1341
 
0.9%
ValueCountFrequency (%)
0 148185
98.8%
1.480453014 67
 
< 0.1%
2.206948961 26
 
< 0.1%
2.921812056 12
 
< 0.1%
3.590290394 41
 
< 0.1%
ValueCountFrequency (%)
85.84510106 1
< 0.1%
85.38535427 1
< 0.1%
79.4000356 1
< 0.1%
77.75927039 1
< 0.1%
74.79572216 1
< 0.1%

voice_in_short_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct64198
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7572440747
Minimum0
Maximum1.160290336
Zeros36795
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.412745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000032309
median1.000339368
Q31.001119002
95-th percentile1.008751509
Maximum1.160290336
Range1.160290336
Interquartile range (IQR)0.001086693653

Descriptive statistics

Standard deviation0.4318172344
Coefficient of variation (CV)0.5702484163
Kurtosis-0.5994705561
Mean0.7572440747
Median Absolute Deviation (MAD)0.0007485107709
Skewness-1.18224451
Sum113586.6112
Variance0.1864661239
MonotonicityNot monotonic
2024-06-11T19:35:58.481319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36795
 
24.5%
1.008440556 1290
 
0.9%
1.01817803 1289
 
0.9%
1.064320397 1262
 
0.8%
1.003150561 1216
 
0.8%
1.00485579 1211
 
0.8%
1.002208149 1163
 
0.8%
1.001633101 1138
 
0.8%
1.00099675 1094
 
0.7%
1.001256603 1093
 
0.7%
Other values (64188) 102449
68.3%
ValueCountFrequency (%)
0 36795
24.5%
1.000001735 1
 
< 0.1%
1.000003249 1
 
< 0.1%
1.0000036 1
 
< 0.1%
1.000003956 1
 
< 0.1%
ValueCountFrequency (%)
1.160290336 2
< 0.1%
1.160162091 1
< 0.1%
1.155104817 1
< 0.1%
1.154293478 1
< 0.1%
1.151711357 1
< 0.1%

accum_oth_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct13732
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4650878118
Minimum0
Maximum1.000600461
Zeros80237
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.550272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.00000015
95-th percentile1.000004385
Maximum1.000600461
Range1.000600461
Interquartile range (IQR)1.00000015

Descriptive statistics

Standard deviation0.4987824605
Coefficient of variation (CV)1.072447929
Kurtosis-1.980427401
Mean0.4650878118
Median Absolute Deviation (MAD)0
Skewness0.1399964424
Sum69763.17178
Variance0.2487839429
MonotonicityNot monotonic
2024-06-11T19:35:58.618716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80237
53.5%
1.000000001 3355
 
2.2%
1 2514
 
1.7%
1.000000004 1810
 
1.2%
1.000000008 1540
 
1.0%
1.000000003 962
 
0.6%
1.000000014 729
 
0.5%
1.000000001 685
 
0.5%
1.000000022 659
 
0.4%
1.000000007 569
 
0.4%
Other values (13722) 56940
38.0%
ValueCountFrequency (%)
0 80237
53.5%
1 10
 
< 0.1%
1 2514
 
1.7%
1 316
 
0.2%
1 56
 
< 0.1%
ValueCountFrequency (%)
1.000600461 1
< 0.1%
1.00046339 1
< 0.1%
1.000456514 1
< 0.1%
1.000420055 1
< 0.1%
1.000389981 1
< 0.1%

accum_mts_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct2290
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2406629424
Minimum-1
Maximum1.011596663
Zeros113330
Zeros (%)75.6%
Negative286
Negative (%)0.2%
Memory size1.1 MiB
2024-06-11T19:35:58.688230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1.000040194
Maximum1.011596663
Range2.011596664
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4319357375
Coefficient of variation (CV)1.794774606
Kurtosis-0.4801031182
Mean0.2406629424
Median Absolute Deviation (MAD)0
Skewness1.142210112
Sum36099.44136
Variance0.1865684813
MonotonicityNot monotonic
2024-06-11T19:35:58.763253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113330
75.6%
1 2231
 
1.5%
1.000000004 1041
 
0.7%
1 900
 
0.6%
1.000000014 820
 
0.5%
1.000000032 669
 
0.4%
1.000000058 589
 
0.4%
1.00000009 567
 
0.4%
1.00000013 543
 
0.4%
1.00000023 463
 
0.3%
Other values (2280) 28847
 
19.2%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 4
 
< 0.1%
-1 7
< 0.1%
-1 16
< 0.1%
-1 14
< 0.1%
ValueCountFrequency (%)
1.011596663 1
< 0.1%
1.00397766 1
< 0.1%
1.003394936 1
< 0.1%
1.003394496 1
< 0.1%
1.002973092 1
< 0.1%

data_3g_tar_vol_min_mnt1
Real number (ℝ)

ZEROS 

Distinct47494
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.64921209
Minimum0
Maximum335.5342943
Zeros99139
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.846775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365.33900069
95-th percentile190.3944622
Maximum335.5342943
Range335.5342943
Interquartile range (IQR)65.33900069

Descriptive statistics

Standard deviation67.52435573
Coefficient of variation (CV)1.703044075
Kurtosis0.8942257426
Mean39.64921209
Median Absolute Deviation (MAD)0
Skewness1.498955417
Sum5947381.813
Variance4559.538617
MonotonicityNot monotonic
2024-06-11T19:35:58.922265image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99139
66.1%
22.29933738 302
 
0.2%
1.480453014 151
 
0.1%
2.206948961 103
 
0.1%
29.12504295 90
 
0.1%
2.921812056 87
 
0.1%
3.590290394 81
 
0.1%
33.57110757 51
 
< 0.1%
4.210401996 51
 
< 0.1%
4.786566308 50
 
< 0.1%
Other values (47484) 49895
33.3%
ValueCountFrequency (%)
0 99139
66.1%
1.000727736 1
 
< 0.1%
1.001468335 3
 
< 0.1%
1.001769987 1
 
< 0.1%
1.002453611 16
 
< 0.1%
ValueCountFrequency (%)
335.5342943 1
< 0.1%
326.8232527 1
< 0.1%
322.9540428 1
< 0.1%
313.4008995 1
< 0.1%
309.9574483 1
< 0.1%

voice_out_cmpttrs_td_cntmax_mnt3
Real number (ℝ)

ZEROS 

Distinct251
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.814368085
Minimum0
Maximum42.79090194
Zeros25720
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:58.995434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.480453014
median4.786566308
Q38.687248223
95-th percentile15.82363655
Maximum42.79090194
Range42.79090194
Interquartile range (IQR)7.206795209

Descriptive statistics

Standard deviation5.141722475
Coefficient of variation (CV)0.8843132047
Kurtosis0.883120291
Mean5.814368085
Median Absolute Deviation (MAD)3.306113294
Skewness1.029721004
Sum872155.2128
Variance26.43731001
MonotonicityNot monotonic
2024-06-11T19:35:59.064202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25720
17.1%
1.480453014 13323
 
8.9%
2.206948961 10870
 
7.2%
2.921812056 9114
 
6.1%
3.590290394 7773
 
5.2%
4.210401996 6867
 
4.6%
4.786566308 5979
 
4.0%
5.324077125 5253
 
3.5%
5.827795843 4679
 
3.1%
6.30189811 4212
 
2.8%
Other values (241) 56210
37.5%
ValueCountFrequency (%)
0 25720
17.1%
1.480453014 13323
8.9%
2.206948961 10870
7.2%
2.921812056 9114
 
6.1%
3.590290394 7773
 
5.2%
ValueCountFrequency (%)
42.79090194 1
< 0.1%
41.92070901 1
< 0.1%
39.8678771 1
< 0.1%
38.35003304 1
< 0.1%
36.4411062 1
< 0.1%

voice_in_mts_avg_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct117560
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.08932016
Minimum0
Maximum65.50807578
Zeros14018
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:59.225386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.15365214
median24.093445
Q330.94540339
95-th percentile39.95468476
Maximum65.50807578
Range65.50807578
Interquartile range (IQR)13.79175125

Descriptive statistics

Standard deviation11.28533771
Coefficient of variation (CV)0.4887687309
Kurtosis-0.2242486554
Mean23.08932016
Median Absolute Deviation (MAD)6.891196443
Skewness-0.4332880362
Sum3463398.023
Variance127.3588472
MonotonicityNot monotonic
2024-06-11T19:35:59.295939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14018
 
9.3%
4.059700132 90
 
0.1%
4.503643389 87
 
0.1%
4.786566308 77
 
0.1%
3.427814651 75
 
0.1%
2.921812056 72
 
< 0.1%
3.093574543 72
 
< 0.1%
6.30189811 71
 
< 0.1%
3.749720354 71
 
< 0.1%
2.747038501 70
 
< 0.1%
Other values (117550) 135297
90.2%
ValueCountFrequency (%)
0 14018
9.3%
1.049793044 22
 
< 0.1%
1.164401954 28
 
< 0.1%
1.31316983 32
 
< 0.1%
1.367400612 1
 
< 0.1%
ValueCountFrequency (%)
65.50807578 1
< 0.1%
57.8492223 1
< 0.1%
56.86320725 1
< 0.1%
55.16510405 1
< 0.1%
54.24159173 1
< 0.1%

abon_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct3134
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1306544471
Minimum0
Maximum1.480453014
Zeros131290
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:59.365578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.049793044
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.346189158
Coefficient of variation (CV)2.64965461
Kurtosis3.177181073
Mean0.1306544471
Median Absolute Deviation (MAD)0
Skewness2.273994625
Sum19598.16706
Variance0.1198469331
MonotonicityNot monotonic
2024-06-11T19:35:59.437213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131290
87.5%
1.049793044 10391
 
6.9%
1.047474769 773
 
0.5%
1.044089401 277
 
0.2%
1.045614434 237
 
0.2%
1.049282408 229
 
0.2%
1.044434094 133
 
0.1%
1.043983159 125
 
0.1%
1.039314352 112
 
0.1%
1.045315094 112
 
0.1%
Other values (3124) 6321
 
4.2%
ValueCountFrequency (%)
0 131290
87.5%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000003 1
 
< 0.1%
1.000000004 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 3
< 0.1%
1.47591387 2
< 0.1%
1.427372864 1
 
< 0.1%
1.363963646 1
 
< 0.1%
1.321333457 1
 
< 0.1%

vas_clc_std_mnt1
Real number (ℝ)

ZEROS 

Distinct7996
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.895131463
Minimum0
Maximum52.44107876
Zeros96579
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:59.509772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.604559563
95-th percentile13.12638608
Maximum52.44107876
Range52.44107876
Interquartile range (IQR)1.604559563

Descriptive statistics

Standard deviation4.232347754
Coefficient of variation (CV)2.233273964
Kurtosis17.271536
Mean1.895131463
Median Absolute Deviation (MAD)0
Skewness3.52375065
Sum284269.7194
Variance17.91276751
MonotonicityNot monotonic
2024-06-11T19:35:59.580585image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 96579
64.4%
2.743301695 7949
 
5.3%
1.213999962 5613
 
3.7%
1.213796097 3646
 
2.4%
4.497536115 2233
 
1.5%
16.30699057 1274
 
0.8%
5.94129843 958
 
0.6%
1.268649845 958
 
0.6%
1.109461269 779
 
0.5%
1.604559563 766
 
0.5%
Other values (7986) 29245
 
19.5%
ValueCountFrequency (%)
0 96579
64.4%
1.000000122 1
 
< 0.1%
1.000015151 4
 
< 0.1%
1.000023893 54
 
< 0.1%
1.000049354 9
 
< 0.1%
ValueCountFrequency (%)
52.44107876 1
 
< 0.1%
52.35667006 4
< 0.1%
52.00580564 1
 
< 0.1%
51.32493827 1
 
< 0.1%
50.76358766 1
 
< 0.1%

data_3g_tv_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct298
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.422294549
Minimum0
Maximum89.14996408
Zeros119881
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:59.649896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.26911687
Maximum89.14996408
Range89.14996408
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.826766238
Coefficient of variation (CV)2.690558184
Kurtosis20.72513679
Mean1.422294549
Median Absolute Deviation (MAD)0
Skewness3.77929319
Sum213344.1823
Variance14.64413984
MonotonicityNot monotonic
2024-06-11T19:35:59.719321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119881
79.9%
2.206948961 3964
 
2.6%
1.480453014 3611
 
2.4%
3.590290394 2340
 
1.6%
2.921812056 2116
 
1.4%
4.786566308 1633
 
1.1%
4.210401996 1263
 
0.8%
5.827795843 1051
 
0.7%
5.324077125 788
 
0.5%
6.749901739 787
 
0.5%
Other values (288) 12566
 
8.4%
ValueCountFrequency (%)
0 119881
79.9%
1.480453014 3611
 
2.4%
2.206948961 3964
 
2.6%
2.921812056 2116
 
1.4%
3.590290394 2340
 
1.6%
ValueCountFrequency (%)
89.14996408 1
< 0.1%
84.27159281 1
< 0.1%
81.79216222 1
< 0.1%
75.19399618 1
< 0.1%
55.03008799 1
< 0.1%

pay_avg_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct12039
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.940148037
Minimum-18.26811312
Maximum45.08602217
Zeros25968
Zeros (%)17.3%
Negative14
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:35:59.786348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-18.26811312
5-th percentile0
Q16.185946287
median11.40398164
Q313.84160798
95-th percentile18.55320686
Maximum45.08602217
Range63.3541353
Interquartile range (IQR)7.655661695

Descriptive statistics

Standard deviation5.985164162
Coefficient of variation (CV)0.6021202239
Kurtosis-0.5604447736
Mean9.940148037
Median Absolute Deviation (MAD)3.386635853
Skewness-0.3222589346
Sum1491022.206
Variance35.82219004
MonotonicityNot monotonic
2024-06-11T19:35:59.856780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25968
 
17.3%
11.61519305 5228
 
3.5%
9.246543868 3482
 
2.3%
12.79226812 2951
 
2.0%
13.50412131 2569
 
1.7%
10.507589 2318
 
1.5%
5.988934212 2136
 
1.4%
14.32730559 2106
 
1.4%
13.33095137 2082
 
1.4%
10.26911687 2056
 
1.4%
Other values (12029) 99104
66.1%
ValueCountFrequency (%)
-18.26811312 1
< 0.1%
-15.34328618 1
< 0.1%
-15.30416807 1
< 0.1%
-14.19051921 1
< 0.1%
-12.66216151 1
< 0.1%
ValueCountFrequency (%)
45.08602217 1
< 0.1%
43.35268057 1
< 0.1%
39.88620229 1
< 0.1%
38.29346148 1
< 0.1%
36.97169692 1
< 0.1%

abon_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct9079
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2288949217
Minimum0
Maximum1.406330152
Zeros116279
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:35:59.925837image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.023762432
Maximum1.406330152
Range1.406330152
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4251455961
Coefficient of variation (CV)1.857383261
Kurtosis-0.2541787537
Mean0.2288949217
Median Absolute Deviation (MAD)0
Skewness1.320164213
Sum34334.23826
Variance0.1807487779
MonotonicityNot monotonic
2024-06-11T19:35:59.998548image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116279
77.5%
1.006406835 12630
 
8.4%
1.023762432 2550
 
1.7%
1.049793044 1677
 
1.1%
1.023188142 341
 
0.2%
1.006087783 312
 
0.2%
1.005624744 191
 
0.1%
1.049015504 165
 
0.1%
1.005832905 156
 
0.1%
1.047861711 138
 
0.1%
Other values (9069) 15561
 
10.4%
ValueCountFrequency (%)
0 116279
77.5%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1.406330152 1
< 0.1%
1.391374666 1
< 0.1%
1.382791512 1
< 0.1%
1.341605113 1
< 0.1%
1.311918785 1
< 0.1%

ks_num_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1394
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9689265022
Minimum0
Maximum1.480453014
Zeros21859
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.069591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.013872843
median1.063158942
Q31.164401954
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1505291104

Descriptive statistics

Standard deviation0.42052635
Coefficient of variation (CV)0.4340126408
Kurtosis1.327329347
Mean0.9689265022
Median Absolute Deviation (MAD)0.05815861141
Skewness-1.57470776
Sum145338.9753
Variance0.176842411
MonotonicityNot monotonic
2024-06-11T19:36:00.138732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21859
 
14.6%
1.164401954 12814
 
8.5%
1.480453014 12416
 
8.3%
1.082760975 9328
 
6.2%
1.049793044 6938
 
4.6%
1.03324115 5117
 
3.4%
1.023762432 4086
 
2.7%
1.260942818 3982
 
2.7%
1.113213566 3770
 
2.5%
1.017830633 3097
 
2.1%
Other values (1384) 66593
44.4%
ValueCountFrequency (%)
0 21859
14.6%
1.000089847 1
 
< 0.1%
1.000146927 1
 
< 0.1%
1.000154319 1
 
< 0.1%
1.000162283 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 12416
8.3%
1.480453014 2
 
< 0.1%
1.447627406 2
 
< 0.1%
1.442193484 5
 
< 0.1%
1.439959219 2
 
< 0.1%

num_act_days_mea_mnt3
Real number (ℝ)

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8290213
Minimum0
Maximum5.324077125
Zeros360
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.208923image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.628925011
Q14.786566308
median5.280637862
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0.5375108171

Descriptive statistics

Standard deviation0.9171885242
Coefficient of variation (CV)0.1899325903
Kurtosis5.558407024
Mean4.8290213
Median Absolute Deviation (MAD)0.04343926376
Skewness-2.379935529
Sum724353.195
Variance0.841234789
MonotonicityNot monotonic
2024-06-11T19:36:00.279401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.324077125 70507
47.0%
5.280637862 11249
 
7.5%
5.236961704 6620
 
4.4%
5.193045981 4609
 
3.1%
5.148887986 3785
 
2.5%
5.104484978 3045
 
2.0%
5.059834182 2595
 
1.7%
5.014932791 2326
 
1.6%
4.969777961 2183
 
1.5%
4.92436682 1906
 
1.3%
Other values (75) 41175
27.5%
ValueCountFrequency (%)
0 360
0.2%
1.006406835 183
0.1%
1.023762432 184
0.1%
1.049793044 156
0.1%
1.082760975 173
0.1%
ValueCountFrequency (%)
5.324077125 70507
47.0%
5.280637862 11249
 
7.5%
5.236961704 6620
 
4.4%
5.193045981 4609
 
3.1%
5.148887986 3785
 
2.5%

voice_in_mts_avg_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct70504
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.31869956
Minimum0
Maximum74.92938769
Zeros8647
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.345931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125.9061732
median33.70691144
Q340.80713138
95-th percentile49.81218263
Maximum74.92938769
Range74.92938769
Interquartile range (IQR)14.90095818

Descriptive statistics

Standard deviation12.37438872
Coefficient of variation (CV)0.382886344
Kurtosis0.6993844446
Mean32.31869956
Median Absolute Deviation (MAD)7.431183405
Skewness-0.8040353518
Sum4847804.934
Variance153.1254961
MonotonicityNot monotonic
2024-06-11T19:36:00.415614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8647
 
5.8%
17.89928393 126
 
0.1%
19.04971182 98
 
0.1%
21.34785349 96
 
0.1%
19.75525126 93
 
0.1%
18.16556536 87
 
0.1%
9.354248899 85
 
0.1%
18.03323823 84
 
0.1%
21.64152748 83
 
0.1%
18.67944002 83
 
0.1%
Other values (70494) 140518
93.7%
ValueCountFrequency (%)
0 8647
5.8%
1.480453014 14
 
< 0.1%
2.206948961 22
 
< 0.1%
2.921812056 30
 
< 0.1%
3.427814651 1
 
< 0.1%
ValueCountFrequency (%)
74.92938769 1
< 0.1%
73.36116512 1
< 0.1%
70.66247426 1
< 0.1%
70.44740074 1
< 0.1%
68.48447837 1
< 0.1%

conn_com_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct9870
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9680288623
Minimum0
Maximum1.480453014
Zeros22749
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.484095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.003267084
median1.040268728
Q31.182708386
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1794413015

Descriptive statistics

Standard deviation0.4350815138
Coefficient of variation (CV)0.4494509727
Kurtosis0.9621619509
Mean0.9680288623
Median Absolute Deviation (MAD)0.06645385828
Skewness-1.434538331
Sum145204.3293
Variance0.1892959237
MonotonicityNot monotonic
2024-06-11T19:36:00.554938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22749
 
15.2%
1.480453014 12821
 
8.5%
1.164401954 3087
 
2.1%
1.082760975 2107
 
1.4%
1.049793044 1708
 
1.1%
1.260942818 1606
 
1.1%
1.03324115 1481
 
1.0%
1.023762432 1248
 
0.8%
1.017830633 1114
 
0.7%
1.113213566 987
 
0.7%
Other values (9860) 101092
67.4%
ValueCountFrequency (%)
0 22749
15.2%
1.000003288 1
 
< 0.1%
1.000005682 1
 
< 0.1%
1.000007364 1
 
< 0.1%
1.000008187 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 12821
8.5%
1.478692018 1
 
< 0.1%
1.478253322 1
 
< 0.1%
1.477554164 1
 
< 0.1%
1.477373881 1
 
< 0.1%

voice_in_life_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct69882
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6663137801
Minimum0
Maximum1.176549816
Zeros51609
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.737815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000671056
Q31.008220461
95-th percentile1.064320397
Maximum1.176549816
Range1.176549816
Interquartile range (IQR)1.008220461

Descriptive statistics

Standard deviation0.4830608195
Coefficient of variation (CV)0.72497498
Kurtosis-1.567563858
Mean0.6663137801
Median Absolute Deviation (MAD)0.01754803925
Skewness-0.6498921917
Sum99947.06702
Variance0.2333477553
MonotonicityNot monotonic
2024-06-11T19:36:00.814361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51609
34.4%
1.064320397 1453
 
1.0%
1.01817803 874
 
0.6%
1.008440556 717
 
0.5%
1.00485579 649
 
0.4%
1.003150561 586
 
0.4%
1.002208149 556
 
0.4%
1.001633101 552
 
0.4%
1.001256603 504
 
0.3%
1.00099675 473
 
0.3%
Other values (69872) 92027
61.4%
ValueCountFrequency (%)
0 51609
34.4%
1.000000468 1
 
< 0.1%
1.000000931 1
 
< 0.1%
1.000001398 1
 
< 0.1%
1.000001852 1
 
< 0.1%
ValueCountFrequency (%)
1.176549816 15
< 0.1%
1.174010409 1
 
< 0.1%
1.17253086 30
< 0.1%
1.170177913 1
 
< 0.1%
1.16972228 1
 
< 0.1%

goodok_clc_mea_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.872404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:00.919845image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

block_all_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct7497
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.00175517
Minimum0
Maximum178.2267327
Zeros128436
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:00.980676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.4359035
Coefficient of variation (CV)2.51961278
Kurtosis3.27491868
Mean22.00175517
Median Absolute Deviation (MAD)0
Skewness2.243983537
Sum3300263.275
Variance3073.139397
MonotonicityNot monotonic
2024-06-11T19:36:01.053114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128436
85.6%
178.2267327 13997
 
9.3%
178.2267253 46
 
< 0.1%
178.226729 5
 
< 0.1%
178.226718 3
 
< 0.1%
2.3892276 3
 
< 0.1%
101.1582752 2
 
< 0.1%
108.8297216 2
 
< 0.1%
100.5408639 2
 
< 0.1%
114.9088397 2
 
< 0.1%
Other values (7487) 7502
 
5.0%
ValueCountFrequency (%)
0 128436
85.6%
1.962026024 1
 
< 0.1%
2.023336405 1
 
< 0.1%
2.084626173 1
 
< 0.1%
2.206948961 2
 
< 0.1%
ValueCountFrequency (%)
178.2267327 13997
9.3%
178.226729 5
 
< 0.1%
178.2267253 46
 
< 0.1%
178.2267217 1
 
< 0.1%
178.226718 3
 
< 0.1%

voice_in_short_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct24776
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.539539939
Minimum0
Maximum1.207704776
Zeros69415
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:01.125632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000079265
Q31.000674726
95-th percentile1.006406835
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.000674726

Descriptive statistics

Standard deviation0.5009230489
Coefficient of variation (CV)0.9284262622
Kurtosis-1.974874566
Mean0.539539939
Median Absolute Deviation (MAD)0.009004764964
Skewness-0.1471376839
Sum80930.99085
Variance0.2509239009
MonotonicityNot monotonic
2024-06-11T19:36:01.197887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69415
46.3%
1.00238048 1218
 
0.8%
1.001424332 1119
 
0.7%
1.001666435 1110
 
0.7%
1.002923264 1109
 
0.7%
1.001075172 1107
 
0.7%
1.001975959 1102
 
0.7%
1.006406835 1090
 
0.7%
1.001231401 1080
 
0.7%
1.003675345 1069
 
0.7%
Other values (24766) 70581
47.1%
ValueCountFrequency (%)
0 69415
46.3%
1.00000008 1
 
< 0.1%
1.000000091 1
 
< 0.1%
1.000000136 1
 
< 0.1%
1.000000279 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 16
 
< 0.1%
1.18602901 1
 
< 0.1%
1.165320578 1
 
< 0.1%
1.164401954 645
0.4%
1.163267781 1
 
< 0.1%

accum_mts_dur_std_mnt1
Real number (ℝ)

ZEROS 

Distinct13428
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3157483383
Minimum0
Maximum1.002739194
Zeros102638
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:01.269350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1.000005492
Maximum1.002739194
Range1.002739194
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4648165632
Coefficient of variation (CV)1.472110877
Kurtosis-1.371462695
Mean0.3157483383
Median Absolute Deviation (MAD)0
Skewness0.7928149767
Sum47362.25075
Variance0.2160544374
MonotonicityNot monotonic
2024-06-11T19:36:01.341846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102638
68.4%
1 8901
 
5.9%
1 1719
 
1.1%
1 943
 
0.6%
1.000000001 896
 
0.6%
1 709
 
0.5%
1 652
 
0.4%
1.000000004 526
 
0.4%
1.000000008 466
 
0.3%
1.000000014 285
 
0.2%
Other values (13418) 32265
 
21.5%
ValueCountFrequency (%)
0 102638
68.4%
1 36
 
< 0.1%
1 8901
 
5.9%
1 943
 
0.6%
1 265
 
0.2%
ValueCountFrequency (%)
1.002739194 1
< 0.1%
1.000901191 1
< 0.1%
1.000873723 1
< 0.1%
1.000873685 1
< 0.1%
1.000699305 1
< 0.1%

num_act_days_mea_mnt1
Real number (ℝ)

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.916892949
Minimum0
Maximum5.324077125
Zeros919
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:01.404728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.747038501
Q15.059834182
median5.324077125
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0.2642429431

Descriptive statistics

Standard deviation0.9052954915
Coefficient of variation (CV)0.1841194228
Kurtosis9.134264574
Mean4.916892949
Median Absolute Deviation (MAD)0
Skewness-2.95972164
Sum737533.9424
Variance0.819559927
MonotonicityNot monotonic
2024-06-11T19:36:01.465335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.324077125 95268
63.5%
5.193045981 12086
 
8.1%
5.059834182 6806
 
4.5%
4.92436682 4784
 
3.2%
4.786566308 3731
 
2.5%
4.646352578 2985
 
2.0%
4.503643389 2542
 
1.7%
4.358354821 2128
 
1.4%
4.210401996 1950
 
1.3%
4.059700132 1705
 
1.1%
Other values (19) 16015
 
10.7%
ValueCountFrequency (%)
0 919
0.6%
1.049793044 496
0.3%
1.164401954 441
0.3%
1.31316983 458
0.3%
1.480453014 533
0.4%
ValueCountFrequency (%)
5.324077125 95268
63.5%
5.193045981 12086
 
8.1%
5.059834182 6806
 
4.5%
4.92436682 4784
 
3.2%
4.786566308 3731
 
2.5%

sms_clc_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct898
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.261384366
Minimum0
Maximum53.10482262
Zeros122045
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:01.530836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.213999962
Maximum53.10482262
Range53.10482262
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6988789211
Coefficient of variation (CV)2.673759459
Kurtosis327.0951176
Mean0.261384366
Median Absolute Deviation (MAD)0
Skewness9.427353342
Sum39207.6549
Variance0.4884317463
MonotonicityNot monotonic
2024-06-11T19:36:01.602183image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122045
81.4%
1.066468818 8540
 
5.7%
1.066399103 5355
 
3.6%
1.213999962 2490
 
1.7%
1.213796097 1779
 
1.2%
1.213912585 1192
 
0.8%
1.400049208 1057
 
0.7%
1.399696414 746
 
0.5%
1.604773951 584
 
0.4%
1.604273725 431
 
0.3%
Other values (888) 5781
 
3.9%
ValueCountFrequency (%)
0 122045
81.4%
1.000375812 1
 
< 0.1%
1.001307774 1
 
< 0.1%
1.001472949 1
 
< 0.1%
1.001478494 261
 
0.2%
ValueCountFrequency (%)
53.10482262 1
< 0.1%
25.87110853 1
< 0.1%
24.40919008 1
< 0.1%
23.67273936 1
< 0.1%
22.01817633 1
< 0.1%

goodok_clc_max_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:01.656296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:01.705484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

accum_mts_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1515
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1183897091
Minimum-1
Maximum1.002892347
Zeros123996
Zeros (%)82.7%
Negative4123
Negative (%)2.7%
Memory size1.1 MiB
2024-06-11T19:36:01.768080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1.000005746
Maximum1.002892347
Range2.002892348
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3991879568
Coefficient of variation (CV)3.37181297
Kurtosis2.170750497
Mean0.1183897091
Median Absolute Deviation (MAD)0
Skewness0.9454565712
Sum17758.45637
Variance0.1593510249
MonotonicityNot monotonic
2024-06-11T19:36:01.843753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123996
82.7%
-1 2739
 
1.8%
1.000000004 1030
 
0.7%
1 847
 
0.6%
1.000000014 827
 
0.6%
-1 654
 
0.4%
1.000000032 620
 
0.4%
1.00000009 520
 
0.3%
1.000000058 517
 
0.3%
1.00000013 486
 
0.3%
Other values (1505) 17764
 
11.8%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 1
 
< 0.1%
-1 2
 
< 0.1%
-1 2
 
< 0.1%
-1 62
< 0.1%
ValueCountFrequency (%)
1.002892347 1
< 0.1%
1.00234529 1
< 0.1%
1.001663798 1
< 0.1%
1.001481455 1
< 0.1%
1.001415512 1
< 0.1%

abon_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct2950
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1795736566
Minimum0
Maximum1.480453014
Zeros131290
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:01.916881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4768669651
Coefficient of variation (CV)2.655550786
Kurtosis3.273231988
Mean0.1795736566
Median Absolute Deviation (MAD)0
Skewness2.290464086
Sum26936.0485
Variance0.2274021024
MonotonicityNot monotonic
2024-06-11T19:36:01.990073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131290
87.5%
1.480453014 10643
 
7.1%
1.462337126 775
 
0.5%
1.435460395 277
 
0.2%
1.44763168 246
 
0.2%
1.47648215 240
 
0.2%
1.438220764 133
 
0.1%
1.434608471 125
 
0.1%
1.396629553 113
 
0.1%
1.445251046 112
 
0.1%
Other values (2940) 6046
 
4.0%
ValueCountFrequency (%)
0 131290
87.5%
1.000000012 1
 
< 0.1%
1.000000025 1
 
< 0.1%
1.000000041 1
 
< 0.1%
1.000000068 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 10643
7.1%
1.480452674 75
 
0.1%
1.48045267 1
 
< 0.1%
1.480452589 4
 
< 0.1%
1.480452572 1
 
< 0.1%

content_cnt_max_mnt3
Real number (ℝ)

Distinct308
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.02965489
Minimum0
Maximum64.12058926
Zeros1374
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:02.061444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.964623589
Q111.36116158
median13.01132535
Q314.79061749
95-th percentile17.89928393
Maximum64.12058926
Range64.12058926
Interquartile range (IQR)3.429455919

Descriptive statistics

Standard deviation3.292886132
Coefficient of variation (CV)0.2527224365
Kurtosis5.567244527
Mean13.02965489
Median Absolute Deviation (MAD)1.779292147
Skewness0.03239114651
Sum1954448.234
Variance10.84309908
MonotonicityNot monotonic
2024-06-11T19:36:02.132021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.33868121 5352
 
3.6%
13.01132535 5151
 
3.4%
12.79226812 5135
 
3.4%
12.56814363 5126
 
3.4%
12.1035869 5104
 
3.4%
11.86254065 4841
 
3.2%
13.22556513 4808
 
3.2%
13.43521855 4789
 
3.2%
13.64049984 4739
 
3.2%
11.61519305 4678
 
3.1%
Other values (298) 100277
66.9%
ValueCountFrequency (%)
0 1374
0.9%
1.480453014 219
 
0.1%
2.206948961 101
 
0.1%
2.921812056 154
 
0.1%
3.590290394 155
 
0.1%
ValueCountFrequency (%)
64.12058926 1
< 0.1%
57.01577399 1
< 0.1%
56.30327635 1
< 0.1%
55.78725876 1
< 0.1%
51.67768716 1
< 0.1%

pay_avg_max_mnt1
Real number (ℝ)

ZEROS 

Distinct2901
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.14865436
Minimum0
Maximum72.49599656
Zeros51685
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:02.298924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.29933738
Q326.17309696
95-th percentile31.96388736
Maximum72.49599656
Range72.49599656
Interquartile range (IQR)26.17309696

Descriptive statistics

Standard deviation12.66576317
Coefficient of variation (CV)0.7843231321
Kurtosis-1.376573297
Mean16.14865436
Median Absolute Deviation (MAD)6.825705563
Skewness-0.2402257037
Sum2422298.154
Variance160.4215566
MonotonicityNot monotonic
2024-06-11T19:36:02.369470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51685
34.5%
22.29933738 9971
 
6.6%
26.17309696 9295
 
6.2%
23.99960696 8110
 
5.4%
24.76754894 6171
 
4.1%
29.12504295 5837
 
3.9%
24.38962268 5170
 
3.4%
31.96388736 4239
 
2.8%
25.49022445 4049
 
2.7%
28.02437138 3077
 
2.1%
Other values (2891) 42396
28.3%
ValueCountFrequency (%)
0 51685
34.5%
1.00908403 1
 
< 0.1%
1.027395029 1
 
< 0.1%
1.03324115 1
 
< 0.1%
1.046272906 1
 
< 0.1%
ValueCountFrequency (%)
72.49599656 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%
65.37213434 1
< 0.1%

voice_in_cmpttrs_avg_durtd_mnt3
Real number (ℝ)

ZEROS 

Distinct108637
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2009237213
Minimum-25.2765804
Maximum26.28534803
Zeros19225
Zeros (%)12.8%
Negative61597
Negative (%)41.1%
Memory size1.1 MiB
2024-06-11T19:36:02.439063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-25.2765804
5-th percentile-11.37324013
Q1-3.351657914
median0
Q33.905661045
95-th percentile11.35992647
Maximum26.28534803
Range51.56192843
Interquartile range (IQR)7.257318959

Descriptive statistics

Standard deviation6.561234123
Coefficient of variation (CV)32.65534841
Kurtosis0.5183764498
Mean0.2009237213
Median Absolute Deviation (MAD)3.645230849
Skewness-0.06239772738
Sum30138.55819
Variance43.04979321
MonotonicityNot monotonic
2024-06-11T19:36:02.506542image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19225
 
12.8%
1.09779114 50
 
< 0.1%
1.021352973 43
 
< 0.1%
1.0748555 41
 
< 0.1%
1.276773946 41
 
< 0.1%
1.039632891 39
 
< 0.1%
1.133248024 39
 
< 0.1%
1.047934251 38
 
< 0.1%
1.088358468 37
 
< 0.1%
1.350524462 37
 
< 0.1%
Other values (108627) 130410
86.9%
ValueCountFrequency (%)
-25.2765804 1
< 0.1%
-25.22291885 1
< 0.1%
-25.13790338 1
< 0.1%
-25.13299163 1
< 0.1%
-24.44347607 1
< 0.1%
ValueCountFrequency (%)
26.28534803 1
< 0.1%
26.10688801 1
< 0.1%
25.48347308 1
< 0.1%
25.39763593 1
< 0.1%
25.1563242 1
< 0.1%

all_home_clc_max_mnt3
Real number (ℝ)

ZEROS 

Distinct15880
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.723433761
Minimum0
Maximum54.62828604
Zeros55301
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:02.569996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.462595556
Q37.485636999
95-th percentile16.72677852
Maximum54.62828604
Range54.62828604
Interquartile range (IQR)7.485636999

Descriptive statistics

Standard deviation5.774435692
Coefficient of variation (CV)1.222508028
Kurtosis1.924390953
Mean4.723433761
Median Absolute Deviation (MAD)2.462595556
Skewness1.441171617
Sum708515.0641
Variance33.34410756
MonotonicityNot monotonic
2024-06-11T19:36:02.636030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55301
36.9%
4.497536115 8839
 
5.9%
1.604773951 7835
 
5.2%
1.604273725 3906
 
2.6%
7.165976416 3152
 
2.1%
5.750474527 3114
 
2.1%
9.181785673 1735
 
1.2%
2.463172916 1688
 
1.1%
5.750819605 1570
 
1.0%
1.335206418 1519
 
1.0%
Other values (15870) 61341
40.9%
ValueCountFrequency (%)
0 55301
36.9%
1.00000001 765
 
0.5%
1.00000004 131
 
0.1%
1.00000009 31
 
< 0.1%
1.00000016 15
 
< 0.1%
ValueCountFrequency (%)
54.62828604 1
< 0.1%
49.10800854 1
< 0.1%
44.66155175 1
< 0.1%
41.3093036 1
< 0.1%
40.30117402 1
< 0.1%

block_all_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct7248
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.33315355
Minimum0
Maximum178.2267327
Zeros128436
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:02.703648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59.7701172
Coefficient of variation (CV)2.456324334
Kurtosis2.358639576
Mean24.33315355
Median Absolute Deviation (MAD)0
Skewness2.074485163
Sum3649973.033
Variance3572.46691
MonotonicityNot monotonic
2024-06-11T19:36:02.774996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128436
85.6%
178.2267327 14251
 
9.5%
178.2266446 3
 
< 0.1%
172.7227642 3
 
< 0.1%
12.1035869 3
 
< 0.1%
117.1724212 2
 
< 0.1%
159.4057026 2
 
< 0.1%
166.2235044 2
 
< 0.1%
166.6455004 2
 
< 0.1%
116.7182789 2
 
< 0.1%
Other values (7238) 7294
 
4.9%
ValueCountFrequency (%)
0 128436
85.6%
10.26911687 1
 
< 0.1%
10.55454345 1
 
< 0.1%
10.83132398 1
 
< 0.1%
11.36116158 2
 
< 0.1%
ValueCountFrequency (%)
178.2267327 14251
9.5%
178.2266446 3
 
< 0.1%
178.1957676 1
 
< 0.1%
178.1480436 1
 
< 0.1%
178.1397433 1
 
< 0.1%

voice_in_kievstar_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct57528
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7345125093
Minimum0
Maximum1.480453014
Zeros45146
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:02.845882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.00238048
Q31.030351321
95-th percentile1.199172178
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.030351321

Descriptive statistics

Standard deviation0.4873976009
Coefficient of variation (CV)0.6635660996
Kurtosis-1.233959028
Mean0.7345125093
Median Absolute Deviation (MAD)0.04741256437
Skewness-0.7857396418
Sum110176.8764
Variance0.2375564214
MonotonicityNot monotonic
2024-06-11T19:36:02.916448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45146
30.1%
1.049793044 2611
 
1.7%
1.013872843 1362
 
0.9%
1.006406835 1049
 
0.7%
1.164401954 876
 
0.6%
1.003675345 864
 
0.6%
1.00238048 794
 
0.5%
1.001666435 784
 
0.5%
1.001231401 654
 
0.4%
1.000750704 602
 
0.4%
Other values (57518) 95258
63.5%
ValueCountFrequency (%)
0 45146
30.1%
1.000001032 1
 
< 0.1%
1.000001201 1
 
< 0.1%
1.000001233 1
 
< 0.1%
1.000001338 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 424
0.3%
1.476918555 1
 
< 0.1%
1.475505901 3
 
< 0.1%
1.475360518 1
 
< 0.1%
1.474682154 2
 
< 0.1%

voice_mts_in_dwork_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct135589
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.059781955
Minimum0
Maximum1.480453014
Zeros10284
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:02.986575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.043058605
median1.127670478
Q31.198807714
95-th percentile1.28327924
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1557491088

Descriptive statistics

Standard deviation0.3002771746
Coefficient of variation (CV)0.2833386371
Kurtosis7.700457811
Mean1.059781955
Median Absolute Deviation (MAD)0.07747634725
Skewness-2.926456574
Sum158967.2932
Variance0.09016638161
MonotonicityNot monotonic
2024-06-11T19:36:03.059058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10284
 
6.9%
1.006406835 2324
 
1.5%
1.023762432 849
 
0.6%
1.049793044 398
 
0.3%
1.082760975 183
 
0.1%
1.121317553 83
 
0.1%
1.164401954 42
 
< 0.1%
1.211169962 28
 
< 0.1%
1.260942818 8
 
< 0.1%
1.001666435 8
 
< 0.1%
Other values (135579) 135793
90.5%
ValueCountFrequency (%)
0 10284
6.9%
1 1
 
< 0.1%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 7
< 0.1%
1.477957942 1
 
< 0.1%
1.476676991 1
 
< 0.1%
1.47628839 1
 
< 0.1%
1.476183264 1
 
< 0.1%

clc_no_vas_roam_max_mnt1
Real number (ℝ)

ZEROS 

Distinct10532
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.705554767
Minimum0
Maximum58.08223852
Zeros74032
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:03.129710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000087537
Q321.74906374
95-th percentile29.33036315
Maximum58.08223852
Range58.08223852
Interquartile range (IQR)21.74906374

Descriptive statistics

Standard deviation11.3852474
Coefficient of variation (CV)1.173065082
Kurtosis-1.166154707
Mean9.705554767
Median Absolute Deviation (MAD)1.000087537
Skewness0.5930386871
Sum1455833.215
Variance129.6238584
MonotonicityNot monotonic
2024-06-11T19:36:03.200146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74032
49.4%
21.74906374 6822
 
4.5%
29.33036315 4815
 
3.2%
22.11876484 3199
 
2.1%
20.13969538 2995
 
2.0%
25.57253549 2931
 
2.0%
22.47711246 2917
 
1.9%
23.16295481 2562
 
1.7%
20.13960725 2184
 
1.5%
24.1232528 1653
 
1.1%
Other values (10522) 45890
30.6%
ValueCountFrequency (%)
0 74032
49.4%
1.00000001 667
 
0.4%
1.00000004 107
 
0.1%
1.00000009 19
 
< 0.1%
1.00000016 15
 
< 0.1%
ValueCountFrequency (%)
58.08223852 2
< 0.1%
56.92832563 3
< 0.1%
56.55981782 1
 
< 0.1%
56.28676325 1
 
< 0.1%
55.05441935 1
 
< 0.1%

voice_out_fix_tar_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.347542459
Minimum0
Maximum78.13727753
Zeros110504
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:03.271859image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.210401996
95-th percentile19.17043973
Maximum78.13727753
Range78.13727753
Interquartile range (IQR)4.210401996

Descriptive statistics

Standard deviation6.971092142
Coefficient of variation (CV)2.082450701
Kurtosis7.533176633
Mean3.347542459
Median Absolute Deviation (MAD)0
Skewness2.552844382
Sum502131.3689
Variance48.59612565
MonotonicityNot monotonic
2024-06-11T19:36:03.345658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110504
73.7%
4.210401996 7819
 
5.2%
6.749901739 5309
 
3.5%
8.687248223 3646
 
2.4%
10.26911687 2967
 
2.0%
11.61519305 2267
 
1.5%
12.79226812 1995
 
1.3%
13.84160798 1503
 
1.0%
14.79061749 1326
 
0.9%
15.65849494 1156
 
0.8%
Other values (340) 11508
 
7.7%
ValueCountFrequency (%)
0 110504
73.7%
4.210401996 7819
 
5.2%
4.47742162 36
 
< 0.1%
4.786566308 34
 
< 0.1%
5.148887986 34
 
< 0.1%
ValueCountFrequency (%)
78.13727753 1
< 0.1%
73.59701307 1
< 0.1%
70.92207244 1
< 0.1%
68.57502713 1
< 0.1%
67.69172746 1
< 0.1%

Ama_rchrgmnt_sum_td_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:03.402810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:03.450318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_tar_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct25290
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.11052549
Minimum0
Maximum149.6525065
Zeros9017
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:03.509538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152.3110387
median69.92349971
Q383.49399752
95-th percentile100.0099333
Maximum149.6525065
Range149.6525065
Interquartile range (IQR)31.18295881

Descriptive statistics

Standard deviation26.47597615
Coefficient of variation (CV)0.4066312774
Kurtosis0.3747485716
Mean65.11052549
Median Absolute Deviation (MAD)15.09534648
Skewness-0.8390281431
Sum9766578.823
Variance700.977313
MonotonicityNot monotonic
2024-06-11T19:36:03.579280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9017
 
6.0%
11.36116158 70
 
< 0.1%
8.687248223 67
 
< 0.1%
10.83132398 67
 
< 0.1%
9.974411855 67
 
< 0.1%
9.354248899 64
 
< 0.1%
10.55454345 63
 
< 0.1%
8.333535892 61
 
< 0.1%
14.03872817 59
 
< 0.1%
7.964623589 58
 
< 0.1%
Other values (25280) 140407
93.6%
ValueCountFrequency (%)
0 9017
6.0%
1.480453014 40
 
< 0.1%
2.206948961 25
 
< 0.1%
2.921812056 41
 
< 0.1%
3.590290394 33
 
< 0.1%
ValueCountFrequency (%)
149.6525065 1
< 0.1%
149.34454 1
< 0.1%
149.3222709 1
< 0.1%
147.3359175 1
< 0.1%
146.537503 1
< 0.1%

sms_out_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct303
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.412687092
Minimum0
Maximum67.85337954
Zeros90768
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:03.647679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.480453014
95-th percentile6.30189811
Maximum67.85337954
Range67.85337954
Interquartile range (IQR)1.480453014

Descriptive statistics

Standard deviation2.970968882
Coefficient of variation (CV)2.103062242
Kurtosis32.93991513
Mean1.412687092
Median Absolute Deviation (MAD)0
Skewness4.652643976
Sum211903.0638
Variance8.826656101
MonotonicityNot monotonic
2024-06-11T19:36:03.718188image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90768
60.5%
1.480453014 23573
 
15.7%
2.206948961 11445
 
7.6%
2.921812056 5863
 
3.9%
3.590290394 3951
 
2.6%
4.210401996 2463
 
1.6%
4.786566308 1829
 
1.2%
5.324077125 1251
 
0.8%
5.827795843 1072
 
0.7%
6.30189811 784
 
0.5%
Other values (293) 7001
 
4.7%
ValueCountFrequency (%)
0 90768
60.5%
1.480453014 23573
 
15.7%
2.206948961 11445
 
7.6%
2.921812056 5863
 
3.9%
3.590290394 3951
 
2.6%
ValueCountFrequency (%)
67.85337954 1
< 0.1%
51.92939259 1
< 0.1%
48.4945075 1
< 0.1%
46.29053202 1
< 0.1%
45.19176071 1
< 0.1%

data_3g_tar_vol_max_mnt1
Real number (ℝ)

ZEROS 

Distinct93057
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.6120271
Minimum0
Maximum345.4814078
Zeros52992
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:03.888032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114.2006397
Q3187.7024457
95-th percentile240.9403857
Maximum345.4814078
Range345.4814078
Interquartile range (IQR)187.7024457

Descriptive statistics

Standard deviation93.13589146
Coefficient of variation (CV)0.9076508286
Kurtosis-1.550898025
Mean102.6120271
Median Absolute Deviation (MAD)103.0260182
Skewness0.1187663108
Sum15391804.07
Variance8674.294279
MonotonicityNot monotonic
2024-06-11T19:36:03.958974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52992
35.3%
1.480453014 221
 
0.1%
22.29933738 212
 
0.1%
2.206948961 129
 
0.1%
3.590290394 116
 
0.1%
2.921812056 97
 
0.1%
4.210401996 88
 
0.1%
29.12504295 70
 
< 0.1%
5.827795843 59
 
< 0.1%
4.786566308 55
 
< 0.1%
Other values (93047) 95961
64.0%
ValueCountFrequency (%)
0 52992
35.3%
1.001468335 6
 
< 0.1%
1.001769987 3
 
< 0.1%
1.002453611 31
 
< 0.1%
1.002834978 1
 
< 0.1%
ValueCountFrequency (%)
345.4814078 1
< 0.1%
343.9501893 1
< 0.1%
341.7752863 1
< 0.1%
339.4134575 1
< 0.1%
336.6871708 1
< 0.1%

abon_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct3160
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1434154474
Minimum0
Maximum1.207704776
Zeros131293
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:04.031453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.164401954
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3801290445
Coefficient of variation (CV)2.650544633
Kurtosis3.187675512
Mean0.1434154474
Median Absolute Deviation (MAD)0
Skewness2.27599474
Sum21512.31711
Variance0.1444980904
MonotonicityNot monotonic
2024-06-11T19:36:04.107125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131293
87.5%
1.164401954 10399
 
6.9%
1.157362058 773
 
0.5%
1.147010733 277
 
0.2%
1.15168445 237
 
0.2%
1.14806866 133
 
0.1%
1.146684471 125
 
0.1%
1.162854604 123
 
0.1%
1.15076847 112
 
0.1%
1.162854604 106
 
0.1%
Other values (3150) 6422
 
4.3%
ValueCountFrequency (%)
0 131293
87.5%
1.000000003 1
 
< 0.1%
1.000000006 1
 
< 0.1%
1.00000001 1
 
< 0.1%
1.000000017 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 98
0.1%
1.207704694 2
 
< 0.1%
1.206751872 7
 
< 0.1%
1.206751792 1
 
< 0.1%
1.206751709 1
 
< 0.1%

pay_max_max_mnt3
Real number (ℝ)

ZEROS 

Distinct1803
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.69062116
Minimum0
Maximum72.49599656
Zeros25611
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:04.174279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.54445817
median24.76754894
Q328.3084283
95-th percentile33.57110757
Maximum72.49599656
Range72.49599656
Interquartile range (IQR)6.763970132

Descriptive statistics

Standard deviation11.31193251
Coefficient of variation (CV)0.5215126124
Kurtosis0.2904368738
Mean21.69062116
Median Absolute Deviation (MAD)3.419695453
Skewness-0.8006667342
Sum3253593.175
Variance127.9598171
MonotonicityNot monotonic
2024-06-11T19:36:04.241934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25611
17.1%
26.17309696 14585
 
9.7%
29.12504295 11564
 
7.7%
22.29933738 10486
 
7.0%
23.99960696 9219
 
6.1%
24.76754894 7947
 
5.3%
24.38962268 6122
 
4.1%
31.96388736 5003
 
3.3%
25.49022445 4909
 
3.3%
33.57110757 4532
 
3.0%
Other values (1793) 50022
33.3%
ValueCountFrequency (%)
0 25611
17.1%
1.00908403 2
 
< 0.1%
1.046272906 1
 
< 0.1%
1.053412628 1
 
< 0.1%
1.060939898 1
 
< 0.1%
ValueCountFrequency (%)
72.49599656 1
< 0.1%
70.2176974 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%

content_cnt_std_mnt3
Real number (ℝ)

Distinct21640
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.59341789
Minimum0
Maximum43.5340414
Zeros1374
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:04.310240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.826380859
Q15.497706877
median6.554917829
Q37.621882533
95-th percentile9.524988274
Maximum43.5340414
Range43.5340414
Interquartile range (IQR)2.124175657

Descriptive statistics

Standard deviation1.917216617
Coefficient of variation (CV)0.2907773553
Kurtosis8.991875158
Mean6.59341789
Median Absolute Deviation (MAD)1.062171305
Skewness0.7633793455
Sum989012.6835
Variance3.675719555
MonotonicityNot monotonic
2024-06-11T19:36:04.375510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1374
 
0.9%
1.064320397 166
 
0.1%
1.38913981 82
 
0.1%
5.852417661 80
 
0.1%
5.699639581 79
 
0.1%
6.292384453 77
 
0.1%
5.796866421 77
 
0.1%
5.954850995 77
 
0.1%
6.043275698 76
 
0.1%
5.14898862 74
 
< 0.1%
Other values (21630) 147838
98.6%
ValueCountFrequency (%)
0 1374
0.9%
1.064320397 166
 
0.1%
1.082760975 1
 
< 0.1%
1.102789099 1
 
< 0.1%
1.10808554 34
 
< 0.1%
ValueCountFrequency (%)
43.5340414 1
< 0.1%
39.59180675 1
< 0.1%
39.18671552 1
< 0.1%
37.72755966 1
< 0.1%
33.85840984 1
< 0.1%

voice_in_life_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct39965
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5081846435
Minimum0
Maximum1.207704776
Zeros75011
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:04.440513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.003506544
95-th percentile1.046049948
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.003506544

Descriptive statistics

Standard deviation0.5088263819
Coefficient of variation (CV)1.001262806
Kurtosis-1.989065896
Mean0.5081846435
Median Absolute Deviation (MAD)0
Skewness0.007439868845
Sum76227.69652
Variance0.2589042869
MonotonicityNot monotonic
2024-06-11T19:36:04.511711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75011
50.0%
1.164401954 1375
 
0.9%
1.049793044 957
 
0.6%
1.023762432 829
 
0.6%
1.013872843 772
 
0.5%
1.006406835 699
 
0.5%
1.00908403 689
 
0.5%
1.004760016 664
 
0.4%
1.003675345 645
 
0.4%
1.002923264 606
 
0.4%
Other values (39955) 67753
45.2%
ValueCountFrequency (%)
0 75011
50.0%
1.000000655 1
 
< 0.1%
1.000000826 1
 
< 0.1%
1.000000941 1
 
< 0.1%
1.00000119 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 209
0.1%
1.206618833 1
 
< 0.1%
1.200334885 1
 
< 0.1%
1.196318097 1
 
< 0.1%
1.194525402 1
 
< 0.1%

non_accum_internet_vol_max_mnt3
Real number (ℝ)

ZEROS 

Distinct121942
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.554914
Minimum-16.00012029
Maximum392.8255014
Zeros24910
Zeros (%)16.6%
Negative2
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:04.586830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-16.00012029
5-th percentile0
Q166.45767021
median205.7467841
Q3243.4984994
95-th percentile283.1162621
Maximum392.8255014
Range408.8256217
Interquartile range (IQR)177.0408292

Descriptive statistics

Standard deviation101.0101191
Coefficient of variation (CV)0.6064673606
Kurtosis-1.0453965
Mean166.554914
Median Absolute Deviation (MAD)49.94050255
Skewness-0.6740675731
Sum24983237.09
Variance10203.04415
MonotonicityNot monotonic
2024-06-11T19:36:04.661046image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24910
 
16.6%
1.480453014 641
 
0.4%
2.206948961 140
 
0.1%
2.921812056 109
 
0.1%
22.29933738 103
 
0.1%
4.786566308 95
 
0.1%
4.210401996 85
 
0.1%
3.590290394 83
 
0.1%
22.39037352 64
 
< 0.1%
5.324077125 63
 
< 0.1%
Other values (121932) 123707
82.5%
ValueCountFrequency (%)
-16.00012029 1
 
< 0.1%
-14.73990262 1
 
< 0.1%
0 24910
16.6%
1 1
 
< 0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
392.8255014 1
< 0.1%
387.3340098 1
< 0.1%
385.0769565 1
< 0.1%
378.7587435 1
< 0.1%
373.0271194 1
< 0.1%

voice_in_cmpttrs_avg_durmax_mnt1
Real number (ℝ)

ZEROS 

Distinct28454
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.55410198
Minimum0
Maximum62.95153272
Zeros33653
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:04.732335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.55454345
median22.70160776
Q332.11231302
95-th percentile45.83372314
Maximum62.95153272
Range62.95153272
Interquartile range (IQR)21.55776958

Descriptive statistics

Standard deviation14.89874107
Coefficient of variation (CV)0.6912253214
Kurtosis-0.8738969476
Mean21.55410198
Median Absolute Deviation (MAD)10.22665615
Skewness-0.02215917562
Sum3233115.297
Variance221.9724854
MonotonicityNot monotonic
2024-06-11T19:36:04.802890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33653
 
22.4%
14.03872817 282
 
0.2%
14.23203307 278
 
0.2%
12.33868121 272
 
0.2%
16.30392399 266
 
0.2%
8.687248223 265
 
0.2%
13.01132535 264
 
0.2%
15.65849494 263
 
0.2%
15.82363655 261
 
0.2%
14.97017418 259
 
0.2%
Other values (28444) 113937
76.0%
ValueCountFrequency (%)
0 33653
22.4%
1.480453014 84
 
0.1%
1.839588705 3
 
< 0.1%
2.206948961 67
 
< 0.1%
2.569415055 1
 
< 0.1%
ValueCountFrequency (%)
62.95153272 1
< 0.1%
62.11526757 1
< 0.1%
61.02525677 1
< 0.1%
60.90441826 1
< 0.1%
59.34850999 1
< 0.1%

voice_in_td_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct4997
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2003249242
Minimum-17.91200073
Maximum21.01305152
Zeros5647
Zeros (%)3.8%
Negative65210
Negative (%)43.5%
Memory size1.1 MiB
2024-06-11T19:36:04.872244image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-17.91200073
5-th percentile-2.456410645
Q1-1.138597394
median1.001424332
Q31.309819462
95-th percentile2.955684351
Maximum21.01305152
Range38.92505224
Interquartile range (IQR)2.448416856

Descriptive statistics

Standard deviation1.833505851
Coefficient of variation (CV)9.152659648
Kurtosis1.384870045
Mean0.2003249242
Median Absolute Deviation (MAD)1.647824051
Skewness0.03174446301
Sum30048.73864
Variance3.361743704
MonotonicityNot monotonic
2024-06-11T19:36:04.942371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5647
 
3.8%
1.001424332 534
 
0.4%
1.00095998 493
 
0.3%
1.000108887 473
 
0.3%
-1.000300379 466
 
0.3%
-1.001424332 452
 
0.3%
1.000300379 450
 
0.3%
1.000584711 446
 
0.3%
-1.000012183 442
 
0.3%
1.000012183 431
 
0.3%
Other values (4987) 140166
93.4%
ValueCountFrequency (%)
-17.91200073 1
< 0.1%
-15.63110302 1
< 0.1%
-13.84021569 1
< 0.1%
-13.7070494 1
< 0.1%
-13.44826512 1
< 0.1%
ValueCountFrequency (%)
21.01305152 1
< 0.1%
16.70069535 1
< 0.1%
14.50802479 1
< 0.1%
14.34386927 1
< 0.1%
13.72256047 1
< 0.1%

accum_oth_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct973
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3080427641
Minimum-1
Maximum1.001877285
Zeros101136
Zeros (%)67.4%
Negative1329
Negative (%)0.9%
Memory size1.1 MiB
2024-06-11T19:36:05.013930image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31.000000032
95-th percentile1.000009704
Maximum1.001877285
Range2.001877286
Interquartile range (IQR)1.000000032

Descriptive statistics

Standard deviation0.4804963302
Coefficient of variation (CV)1.559836445
Kurtosis-1.036471554
Mean0.3080427641
Median Absolute Deviation (MAD)0
Skewness0.5900823219
Sum46206.41462
Variance0.2308767233
MonotonicityNot monotonic
2024-06-11T19:36:05.093371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101136
67.4%
1.000000004 4331
 
2.9%
1.000000014 3111
 
2.1%
1.000000032 2471
 
1.6%
1.000000058 2050
 
1.4%
1.00000009 1769
 
1.2%
1.00000013 1530
 
1.0%
1.000000176 1401
 
0.9%
1.00000023 1225
 
0.8%
1.000000291 1132
 
0.8%
Other values (963) 29844
 
19.9%
ValueCountFrequency (%)
-1 7
 
< 0.1%
-1 7
 
< 0.1%
-1 11
 
< 0.1%
-1 22
 
< 0.1%
-1 100
0.1%
ValueCountFrequency (%)
1.001877285 1
< 0.1%
1.001393348 1
< 0.1%
1.001138671 1
< 0.1%
1.00108068 1
< 0.1%
1.001024155 1
< 0.1%

voice_in_life_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct2894
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.539528493
Minimum0
Maximum1.480453014
Zeros74955
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:05.168822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000047564
Q31.020477851
95-th percentile1.260942818
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.020477851

Descriptive statistics

Standard deviation0.5463364381
Coefficient of variation (CV)1.012618324
Kurtosis-1.841867688
Mean0.539528493
Median Absolute Deviation (MAD)0.4804054494
Skewness0.08801349891
Sum80929.27395
Variance0.2984835036
MonotonicityNot monotonic
2024-06-11T19:36:05.359609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74955
50.0%
1.480453014 3720
 
2.5%
1.164401954 2474
 
1.6%
1.082760975 2213
 
1.5%
1.049793044 1944
 
1.3%
1.03324115 1711
 
1.1%
1.023762432 1638
 
1.1%
1.017830633 1490
 
1.0%
1.013872843 1307
 
0.9%
1.011100838 1261
 
0.8%
Other values (2884) 57287
38.2%
ValueCountFrequency (%)
0 74955
50.0%
1.000015561 1
 
< 0.1%
1.000016728 1
 
< 0.1%
1.000022145 1
 
< 0.1%
1.000023912 2
 
< 0.1%
ValueCountFrequency (%)
1.480453014 3720
2.5%
1.471100336 1
 
< 0.1%
1.469968631 1
 
< 0.1%
1.468922184 1
 
< 0.1%
1.468316515 1
 
< 0.1%

Ama_rchrgmnt_sum_mea_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:05.419752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:05.469566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

block_all_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct391
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.04965023
Minimum0
Maximum178.2267327
Zeros135491
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:05.530995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.26064675
Coefficient of variation (CV)3.065203453
Kurtosis5.570562753
Mean17.04965023
Median Absolute Deviation (MAD)0
Skewness2.748437124
Sum2557447.534
Variance2731.175199
MonotonicityNot monotonic
2024-06-11T19:36:05.605199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135491
90.3%
178.2267327 14094
 
9.4%
178.2267107 20
 
< 0.1%
178.2267217 7
 
< 0.1%
94.69332369 2
 
< 0.1%
9.974411855 1
 
< 0.1%
169.9431934 1
 
< 0.1%
98.43593741 1
 
< 0.1%
91.64804854 1
 
< 0.1%
93.87515173 1
 
< 0.1%
Other values (381) 381
 
0.3%
ValueCountFrequency (%)
0 135491
90.3%
4.210401996 1
 
< 0.1%
5.324077125 1
 
< 0.1%
6.068314762 1
 
< 0.1%
8.151070999 1
 
< 0.1%
ValueCountFrequency (%)
178.2267327 14094
9.4%
178.2267217 7
 
< 0.1%
178.2267107 20
 
< 0.1%
178.2266886 1
 
< 0.1%
178.2263585 1
 
< 0.1%

all_clc_std_mnt3
Real number (ℝ)

ZEROS 

Distinct76862
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.73538858
Minimum0
Maximum48.28845003
Zeros25923
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:05.679400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.977064131
median12.80215305
Q315.7898432
95-th percentile21.27437453
Maximum48.28845003
Range48.28845003
Interquartile range (IQR)13.81277907

Descriptive statistics

Standard deviation7.511321968
Coefficient of variation (CV)0.6996786292
Kurtosis-0.4269806608
Mean10.73538858
Median Absolute Deviation (MAD)4.68557634
Skewness0.00690873444
Sum1610308.287
Variance56.4199577
MonotonicityNot monotonic
2024-06-11T19:36:05.760250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25923
 
17.3%
1.085479715 1766
 
1.2%
12.14382405 1716
 
1.1%
11.00451042 1118
 
0.7%
14.1619521 866
 
0.6%
12.40843847 857
 
0.6%
7.755722602 695
 
0.5%
13.16123561 641
 
0.4%
12.66589951 624
 
0.4%
1.085391526 529
 
0.4%
Other values (76852) 115265
76.8%
ValueCountFrequency (%)
0 25923
17.3%
1.000000001 152
 
0.1%
1.000000002 55
 
< 0.1%
1.000000002 18
 
< 0.1%
1.000000002 3
 
< 0.1%
ValueCountFrequency (%)
48.28845003 1
< 0.1%
45.80101748 1
< 0.1%
44.79684249 1
< 0.1%
44.79283827 1
< 0.1%
44.75585936 1
< 0.1%

voice_in_kievstar_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct2984
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5339633479
Minimum0
Maximum1.480453014
Zeros76324
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:05.830774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.024846884
95-th percentile1.274851105
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.024846884

Descriptive statistics

Standard deviation0.5509295655
Coefficient of variation (CV)1.031774124
Kurtosis-1.8325837
Mean0.5339633479
Median Absolute Deviation (MAD)0
Skewness0.1268716562
Sum80094.50219
Variance0.3035233862
MonotonicityNot monotonic
2024-06-11T19:36:05.904037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 76324
50.9%
1.480453014 3821
 
2.5%
1.164401954 2314
 
1.5%
1.082760975 2021
 
1.3%
1.049793044 1761
 
1.2%
1.03324115 1669
 
1.1%
1.023762432 1475
 
1.0%
1.017830633 1305
 
0.9%
1.013872843 1222
 
0.8%
1.011100838 1130
 
0.8%
Other values (2974) 56958
38.0%
ValueCountFrequency (%)
0 76324
50.9%
1.000011688 1
 
< 0.1%
1.00001581 1
 
< 0.1%
1.000016728 1
 
< 0.1%
1.000019321 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 3821
2.5%
1.473920774 1
 
< 0.1%
1.471579263 1
 
< 0.1%
1.468922184 1
 
< 0.1%
1.467402531 1
 
< 0.1%

voice_in_life_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct3161
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7272075828
Minimum0
Maximum1.480453014
Zeros51602
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:05.977252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.006078002
Q31.073947946
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.073947946

Descriptive statistics

Standard deviation0.5402187977
Coefficient of variation (CV)0.7428673882
Kurtosis-1.483387057
Mean0.7272075828
Median Absolute Deviation (MAD)0.1583239519
Skewness-0.4819193173
Sum109081.1374
Variance0.2918363494
MonotonicityNot monotonic
2024-06-11T19:36:06.054101image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51602
34.4%
1.480453014 8983
 
6.0%
1.164401954 4342
 
2.9%
1.082760975 3450
 
2.3%
1.049793044 2802
 
1.9%
1.03324115 2366
 
1.6%
1.023762432 2104
 
1.4%
1.017830633 1839
 
1.2%
1.013872843 1648
 
1.1%
1.260942818 1586
 
1.1%
Other values (3151) 69278
46.2%
ValueCountFrequency (%)
0 51602
34.4%
1.000005602 1
 
< 0.1%
1.000011148 1
 
< 0.1%
1.000016728 1
 
< 0.1%
1.000019153 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 8983
6.0%
1.471100336 1
 
< 0.1%
1.469968631 1
 
< 0.1%
1.468316515 1
 
< 0.1%
1.467876106 1
 
< 0.1%

block_all_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct7521
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.718983445
Minimum-127.1295013
Maximum127.3330846
Zeros142433
Zeros (%)95.0%
Negative5352
Negative (%)3.6%
Memory size1.1 MiB
2024-06-11T19:36:06.126762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-127.1295013
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum127.3330846
Range254.4625859
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.51174589
Coefficient of variation (CV)-9.023790157
Kurtosis23.10039259
Mean-1.718983445
Median Absolute Deviation (MAD)0
Skewness-2.833882929
Sum-257847.5168
Variance240.6142606
MonotonicityNot monotonic
2024-06-11T19:36:06.197980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142433
95.0%
-1.001181135 14
 
< 0.1%
-1.00043106 10
 
< 0.1%
-1.000761095 5
 
< 0.1%
-1.002283948 4
 
< 0.1%
1.00372538 3
 
< 0.1%
1.062185415 3
 
< 0.1%
-1.000192907 2
 
< 0.1%
45.81362645 2
 
< 0.1%
-69.8295877 2
 
< 0.1%
Other values (7511) 7522
 
5.0%
ValueCountFrequency (%)
-127.1295013 1
< 0.1%
-127.1061928 1
< 0.1%
-126.8526814 1
< 0.1%
-126.8326819 1
< 0.1%
-126.7793532 1
< 0.1%
ValueCountFrequency (%)
127.3330846 1
< 0.1%
127.2787358 1
< 0.1%
127.2126399 1
< 0.1%
127.204818 1
< 0.1%
127.1986117 1
< 0.1%

num_act_days_max_mnt3
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.235418705
Minimum0
Maximum5.324077125
Zeros360
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:06.254599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.786566308
Q15.324077125
median5.324077125
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.454918885
Coefficient of variation (CV)0.08689255064
Kurtosis62.38205622
Mean5.235418705
Median Absolute Deviation (MAD)0
Skewness-7.248726801
Sum785312.8058
Variance0.2069511919
MonotonicityNot monotonic
2024-06-11T19:36:06.307974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.324077125 140673
93.8%
4.786566308 4020
 
2.7%
4.210401996 2072
 
1.4%
3.590290394 1335
 
0.9%
2.921812056 689
 
0.5%
2.206948961 450
 
0.3%
1.480453014 401
 
0.3%
0 360
 
0.2%
ValueCountFrequency (%)
0 360
 
0.2%
1.480453014 401
 
0.3%
2.206948961 450
 
0.3%
2.921812056 689
0.5%
3.590290394 1335
0.9%
ValueCountFrequency (%)
5.324077125 140673
93.8%
4.786566308 4020
 
2.7%
4.210401996 2072
 
1.4%
3.590290394 1335
 
0.9%
2.921812056 689
 
0.5%

voice_mts_in_nwork_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct110154
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7680322867
Minimum0
Maximum1.480453014
Zeros37180
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:06.372826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000000398
median1.003779844
Q31.019395243
95-th percentile1.068875623
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.01939484533

Descriptive statistics

Standard deviation0.4417662523
Coefficient of variation (CV)0.5751922933
Kurtosis-0.6440897872
Mean0.7680322867
Median Absolute Deviation (MAD)0.01540115401
Skewness-1.153387223
Sum115204.843
Variance0.1951574217
MonotonicityNot monotonic
2024-06-11T19:36:06.444584image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37180
 
24.8%
1.049793044 1141
 
0.8%
1.164401954 48
 
< 0.1%
1.006406835 21
 
< 0.1%
1.013872843 14
 
< 0.1%
1.000273218 12
 
< 0.1%
1.003675345 12
 
< 0.1%
1.000946895 11
 
< 0.1%
1.023762432 9
 
< 0.1%
1.001666435 9
 
< 0.1%
Other values (110144) 111543
74.4%
ValueCountFrequency (%)
0 37180
24.8%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 1
< 0.1%
1.437419821 1
< 0.1%
1.432695222 1
< 0.1%
1.426197007 1
< 0.1%
1.423403207 1
< 0.1%

voice_out_short_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct38534
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6089095818
Minimum0
Maximum1.207704776
Zeros59169
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:06.515824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000227587
Q31.001272831
95-th percentile1.011910452
Maximum1.207704776
Range1.207704776
Interquartile range (IQR)1.001272831

Descriptive statistics

Standard deviation0.4916961522
Coefficient of variation (CV)0.8075027341
Kurtosis-1.811042771
Mean0.6089095818
Median Absolute Deviation (MAD)0.004457006543
Skewness-0.4286269184
Sum91336.43728
Variance0.2417651061
MonotonicityNot monotonic
2024-06-11T19:36:06.588339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59169
39.4%
1.003675345 1091
 
0.7%
1.006406835 1075
 
0.7%
1.00238048 1072
 
0.7%
1.002923264 1039
 
0.7%
1.013872843 1033
 
0.7%
1.00908403 1030
 
0.7%
1.001975959 1020
 
0.7%
1.004760016 1020
 
0.7%
1.001666435 979
 
0.7%
Other values (38524) 81472
54.3%
ValueCountFrequency (%)
0 59169
39.4%
1.000000029 1
 
< 0.1%
1.000000263 1
 
< 0.1%
1.000000268 1
 
< 0.1%
1.000000508 1
 
< 0.1%
ValueCountFrequency (%)
1.207704776 41
< 0.1%
1.197043728 1
 
< 0.1%
1.1884951 1
 
< 0.1%
1.180900754 1
 
< 0.1%
1.178628051 2
 
< 0.1%

voice_in_tar_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct20609
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.61995128
Minimum0
Maximum149.3222709
Zeros17343
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:06.656431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137.31106073
median59.84977841
Q375.88255705
95-th percentile94.46935532
Maximum149.3222709
Range149.3222709
Interquartile range (IQR)38.57149632

Descriptive statistics

Standard deviation28.79785302
Coefficient of variation (CV)0.5272405475
Kurtosis-0.5773859837
Mean54.61995128
Median Absolute Deviation (MAD)18.37485134
Skewness-0.4948017234
Sum8192992.692
Variance829.3163385
MonotonicityNot monotonic
2024-06-11T19:36:06.728987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17343
 
11.6%
8.687248223 137
 
0.1%
7.964623589 117
 
0.1%
9.974411855 116
 
0.1%
9.027097853 115
 
0.1%
7.578965206 115
 
0.1%
9.669720902 109
 
0.1%
10.26911687 107
 
0.1%
11.61519305 107
 
0.1%
11.10002615 102
 
0.1%
Other values (20599) 131632
87.8%
ValueCountFrequency (%)
0 17343
11.6%
1.480453014 58
 
< 0.1%
2.206948961 29
 
< 0.1%
2.921812056 56
 
< 0.1%
3.590290394 38
 
< 0.1%
ValueCountFrequency (%)
149.3222709 1
< 0.1%
144.5246004 1
< 0.1%
141.5952768 1
< 0.1%
140.0165245 1
< 0.1%
137.3350374 1
< 0.1%

all_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1337
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.83516422
Minimum0
Maximum109.8824313
Zeros2433
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:06.801865image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.827795843
Q114.97017418
median21.04654495
Q326.62986847
95-th percentile34.97660701
Maximum109.8824313
Range109.8824313
Interquartile range (IQR)11.65969429

Descriptive statistics

Standard deviation8.905241832
Coefficient of variation (CV)0.4274140456
Kurtosis1.325494531
Mean20.83516422
Median Absolute Deviation (MAD)5.83709152
Skewness0.2323296444
Sum3125274.634
Variance79.30333209
MonotonicityNot monotonic
2024-06-11T19:36:06.971320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2433
 
1.6%
9.974411855 1006
 
0.7%
9.669720902 1001
 
0.7%
11.86254065 982
 
0.7%
9.027097853 973
 
0.6%
13.64049984 970
 
0.6%
12.56814363 970
 
0.6%
13.01132535 967
 
0.6%
12.1035869 962
 
0.6%
8.687248223 959
 
0.6%
Other values (1327) 138777
92.5%
ValueCountFrequency (%)
0 2433
1.6%
1.480453014 488
 
0.3%
2.206948961 443
 
0.3%
2.921812056 704
 
0.5%
3.590290394 553
 
0.4%
ValueCountFrequency (%)
109.8824313 1
< 0.1%
106.9087139 1
< 0.1%
105.308958 1
< 0.1%
97.75658832 1
< 0.1%
97.12813404 1
< 0.1%

voice_mts_out_drest_parttd_mnt3
Real number (ℝ)

ZEROS 

Distinct116084
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05344485524
Minimum-1.011248633
Maximum1.009950143
Zeros24991
Zeros (%)16.7%
Negative66511
Negative (%)44.3%
Memory size1.1 MiB
2024-06-11T19:36:07.041572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.011248633
5-th percentile-1.000668067
Q1-1.000059268
median0
Q31.000027705
95-th percentile1.000559487
Maximum1.009950143
Range2.021198776
Interquartile range (IQR)2.000086973

Descriptive statistics

Standard deviation0.9115788998
Coefficient of variation (CV)-17.05643875
Kurtosis-1.787743578
Mean-0.05344485524
Median Absolute Deviation (MAD)1.000042476
Skewness0.1054691109
Sum-8016.728286
Variance0.8309760905
MonotonicityNot monotonic
2024-06-11T19:36:07.117954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24991
 
16.7%
1.00095998 215
 
0.1%
1.000012183 210
 
0.1%
-1.000012183 206
 
0.1%
1.001424332 197
 
0.1%
-1.000108887 188
 
0.1%
-1.001424332 188
 
0.1%
-1.000584711 186
 
0.1%
1.000108887 185
 
0.1%
-1.000300379 184
 
0.1%
Other values (116074) 123250
82.2%
ValueCountFrequency (%)
-1.011248633 1
< 0.1%
-1.009219129 1
< 0.1%
-1.007887685 1
< 0.1%
-1.007882386 1
< 0.1%
-1.007412385 1
< 0.1%
ValueCountFrequency (%)
1.009950143 1
< 0.1%
1.009316975 1
< 0.1%
1.008262731 1
< 0.1%
1.008155692 1
< 0.1%
1.008138093 1
< 0.1%

voice_in_roam_clc_td_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001699529761
Minimum-8.37295758
Maximum4.804977808
Zeros149854
Zeros (%)99.9%
Negative135
Negative (%)0.1%
Memory size1.1 MiB
2024-06-11T19:36:07.190452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-8.37295758
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.804977808
Range13.17793539
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07252312083
Coefficient of variation (CV)-42.672463
Kurtosis2969.277473
Mean-0.001699529761
Median Absolute Deviation (MAD)0
Skewness-36.67202272
Sum-254.9294641
Variance0.005259603055
MonotonicityNot monotonic
2024-06-11T19:36:07.261904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 149854
99.9%
-1.519363531 45
 
< 0.1%
-2.148019931 15
 
< 0.1%
-1.825571843 9
 
< 0.1%
-1.387680945 7
 
< 0.1%
-2.067436237 6
 
< 0.1%
-1.946387308 5
 
< 0.1%
-2.74163922 4
 
< 0.1%
1.946387308 4
 
< 0.1%
-2.288547377 4
 
< 0.1%
Other values (34) 47
 
< 0.1%
ValueCountFrequency (%)
-8.37295758 1
< 0.1%
-6.10781785 1
< 0.1%
-4.865612963 1
< 0.1%
-4.262240721 1
< 0.1%
-4.097836953 1
< 0.1%
ValueCountFrequency (%)
4.804977808 2
< 0.1%
3.486190677 1
 
< 0.1%
1.946387308 4
< 0.1%
1.160965638 1
 
< 0.1%
1.023203588 2
< 0.1%

voice_mts_in_nwork_part_mea_wk1
Real number (ℝ)

ZEROS 

Distinct76257
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5613923064
Minimum0
Maximum1.480453014
Zeros69279
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:07.330939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000110637
Q31.014871317
95-th percentile1.128907828
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.014871317

Descriptive statistics

Standard deviation0.5231902809
Coefficient of variation (CV)0.9319512842
Kurtosis-1.915829971
Mean0.5613923064
Median Absolute Deviation (MAD)0.1567868157
Skewness-0.1119783928
Sum84208.84596
Variance0.27372807
MonotonicityNot monotonic
2024-06-11T19:36:07.404987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69279
46.2%
1.480453014 563
 
0.4%
1.023762432 21
 
< 0.1%
1.082760975 15
 
< 0.1%
1.03324115 15
 
< 0.1%
1.049793044 15
 
< 0.1%
1.002631002 15
 
< 0.1%
1.013872843 14
 
< 0.1%
1.00908403 14
 
< 0.1%
1.004165221 13
 
< 0.1%
Other values (76247) 80036
53.4%
ValueCountFrequency (%)
0 69279
46.2%
1.000000001 1
 
< 0.1%
1.000000006 1
 
< 0.1%
1.000000008 1
 
< 0.1%
1.00000001 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 563
0.4%
1.480125766 1
 
< 0.1%
1.478994865 1
 
< 0.1%
1.478859978 1
 
< 0.1%
1.47850018 1
 
< 0.1%

voice_in_life_part_min_mnt1
Real number (ℝ)

ZEROS 

Distinct1878
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1497435704
Minimum0
Maximum1.480453014
Zeros128299
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:07.477695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.019533401
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3649774078
Coefficient of variation (CV)2.437349443
Kurtosis2.232844785
Mean0.1497435704
Median Absolute Deviation (MAD)0
Skewness2.043532444
Sum22461.53556
Variance0.1332085082
MonotonicityNot monotonic
2024-06-11T19:36:07.549905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128299
85.5%
1.023762432 388
 
0.3%
1.00908403 364
 
0.2%
1.049793044 359
 
0.2%
1.017830633 357
 
0.2%
1.03324115 333
 
0.2%
1.082760975 330
 
0.2%
1.013872843 322
 
0.2%
1.011100838 315
 
0.2%
1.006406835 315
 
0.2%
Other values (1868) 18618
 
12.4%
ValueCountFrequency (%)
0 128299
85.5%
1.000008575 1
 
< 0.1%
1.000010785 1
 
< 0.1%
1.000011932 1
 
< 0.1%
1.00001308 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 56
< 0.1%
1.454889611 1
 
< 0.1%
1.453910893 1
 
< 0.1%
1.451710038 1
 
< 0.1%
1.449111292 1
 
< 0.1%

voice_mts_in_dwork_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct93161
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.270487747
Minimum0
Maximum1.480453014
Zeros10284
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:07.621808image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.264063611
median1.380494213
Q31.480453014
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.2163894033

Descriptive statistics

Standard deviation0.3643280901
Coefficient of variation (CV)0.2867623799
Kurtosis7.186982482
Mean1.270487747
Median Absolute Deviation (MAD)0.09995880102
Skewness-2.847694909
Sum190573.1621
Variance0.1327349572
MonotonicityNot monotonic
2024-06-11T19:36:07.694175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 39129
 
26.1%
0 10284
 
6.9%
1.260942818 38
 
< 0.1%
1.164401954 36
 
< 0.1%
1.367400612 34
 
< 0.1%
1.383209542 34
 
< 0.1%
1.395148847 34
 
< 0.1%
1.31316983 29
 
< 0.1%
1.345493163 27
 
< 0.1%
1.220903412 26
 
< 0.1%
Other values (93151) 100329
66.9%
ValueCountFrequency (%)
0 10284
6.9%
1.000000048 1
 
< 0.1%
1.000000049 1
 
< 0.1%
1.000000073 1
 
< 0.1%
1.000000395 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 39129
26.1%
1.480300928 1
 
< 0.1%
1.480295305 1
 
< 0.1%
1.480288531 1
 
< 0.1%
1.480288492 1
 
< 0.1%

accum_oth_dur_td_mnt3
Real number (ℝ)

ZEROS 

Distinct18637
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01466666794
Minimum-1.00001901
Maximum1.000020785
Zeros59354
Zeros (%)39.6%
Negative44223
Negative (%)29.5%
Memory size1.1 MiB
2024-06-11T19:36:07.766781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.00001901
5-th percentile-1.000000025
Q1-1
median0
Q31
95-th percentile1.000000037
Maximum1.000020785
Range2.000039795
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7772358943
Coefficient of variation (CV)52.99335184
Kurtosis-1.344258065
Mean0.01466666794
Median Absolute Deviation (MAD)1
Skewness-0.02538046039
Sum2200.000191
Variance0.6040956354
MonotonicityNot monotonic
2024-06-11T19:36:07.842338image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59354
39.6%
-1 748
 
0.5%
1 741
 
0.5%
-1 684
 
0.5%
-1 500
 
0.3%
1 446
 
0.3%
1 435
 
0.3%
-1 412
 
0.3%
-1 387
 
0.3%
1 375
 
0.2%
Other values (18627) 85918
57.3%
ValueCountFrequency (%)
-1.00001901 1
< 0.1%
-1.000017998 1
< 0.1%
-1.000009468 1
< 0.1%
-1.000008967 1
< 0.1%
-1.000008601 1
< 0.1%
ValueCountFrequency (%)
1.000020785 1
< 0.1%
1.000017584 1
< 0.1%
1.000014258 1
< 0.1%
1.000013551 1
< 0.1%
1.000011926 1
< 0.1%

voice_mts_out_dwork_partmea_mnt1
Real number (ℝ)

ZEROS 

Distinct103255
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9211128283
Minimum0
Maximum1.480453014
Zeros29717
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:07.914649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.007852533
median1.10693813
Q31.198631795
95-th percentile1.309336165
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1907792629

Descriptive statistics

Standard deviation0.4663955429
Coefficient of variation (CV)0.5063392112
Kurtosis0.1219370004
Mean0.9211128283
Median Absolute Deviation (MAD)0.0957117169
Skewness-1.376608612
Sum138166.9243
Variance0.2175248024
MonotonicityNot monotonic
2024-06-11T19:36:07.987336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29717
 
19.8%
1.049793044 2770
 
1.8%
1.164401954 885
 
0.6%
1.013872843 411
 
0.3%
1.31316983 308
 
0.2%
1.006406835 260
 
0.2%
1.101412779 241
 
0.2%
1.023762432 209
 
0.1%
1.003675345 173
 
0.1%
1.029532511 147
 
0.1%
Other values (103245) 114879
76.6%
ValueCountFrequency (%)
0 29717
19.8%
1.000000131 1
 
< 0.1%
1.000000164 1
 
< 0.1%
1.000000294 1
 
< 0.1%
1.000000363 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 117
0.1%
1.477942621 1
 
< 0.1%
1.47791814 1
 
< 0.1%
1.476177267 1
 
< 0.1%
1.475643214 1
 
< 0.1%

content_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.219488058
Minimum0
Maximum63.76222028
Zeros94809
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:08.058618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.206948961
95-th percentile5.324077125
Maximum63.76222028
Range63.76222028
Interquartile range (IQR)2.206948961

Descriptive statistics

Standard deviation1.994397098
Coefficient of variation (CV)1.635437989
Kurtosis13.11001199
Mean1.219488058
Median Absolute Deviation (MAD)0
Skewness2.303768162
Sum182923.2087
Variance3.977619784
MonotonicityNot monotonic
2024-06-11T19:36:08.127236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 94809
63.2%
1.480453014 14735
 
9.8%
3.590290394 8632
 
5.8%
2.921812056 8456
 
5.6%
2.206948961 8152
 
5.4%
4.210401996 4256
 
2.8%
4.786566308 3336
 
2.2%
5.324077125 1935
 
1.3%
5.827795843 1280
 
0.9%
6.30189811 945
 
0.6%
Other values (67) 3464
 
2.3%
ValueCountFrequency (%)
0 94809
63.2%
1.480453014 14735
 
9.8%
2.206948961 8152
 
5.4%
2.921812056 8456
 
5.6%
3.590290394 8632
 
5.8%
ValueCountFrequency (%)
63.76222028 1
< 0.1%
30.47779396 1
< 0.1%
28.3084283 1
< 0.1%
27.9089715 1
< 0.1%
27.79252605 1
< 0.1%

data_3g_tv_cnt_td_mnt3
Real number (ℝ)

ZEROS 

Distinct8305
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1859140497
Minimum-37.98134059
Maximum39.38117437
Zeros40635
Zeros (%)27.1%
Negative48528
Negative (%)32.4%
Memory size1.1 MiB
2024-06-11T19:36:08.195644image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-37.98134059
5-th percentile-2.654220137
Q1-1.011924485
median0
Q31.0748555
95-th percentile3.371431883
Maximum39.38117437
Range77.36251496
Interquartile range (IQR)2.086779986

Descriptive statistics

Standard deviation2.359422703
Coefficient of variation (CV)12.69093275
Kurtosis19.03291441
Mean0.1859140497
Median Absolute Deviation (MAD)1.036270046
Skewness0.2782912919
Sum27887.10746
Variance5.56687549
MonotonicityNot monotonic
2024-06-11T19:36:08.265490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40635
 
27.1%
-1.001424332 590
 
0.4%
1.001424332 585
 
0.4%
1.00095998 584
 
0.4%
1.005491992 535
 
0.4%
1.00372538 518
 
0.3%
-1.005491992 496
 
0.3%
1.000584711 475
 
0.3%
-1.00372538 474
 
0.3%
1.00043106 473
 
0.3%
Other values (8295) 104635
69.8%
ValueCountFrequency (%)
-37.98134059 1
< 0.1%
-34.53552048 1
< 0.1%
-32.72042263 1
< 0.1%
-31.05081045 1
< 0.1%
-30.61051608 1
< 0.1%
ValueCountFrequency (%)
39.38117437 1
< 0.1%
38.43101909 1
< 0.1%
35.49980076 1
< 0.1%
35.17741922 1
< 0.1%
32.5458321 1
< 0.1%

voice_in_mts_avg_dur_mea_wk1
Real number (ℝ)

ZEROS 

Distinct63740
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.57887763
Minimum0
Maximum70.66247426
Zeros25488
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:08.431017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.33104765
median22.56073523
Q330.72252904
95-th percentile41.77276914
Maximum70.66247426
Range70.66247426
Interquartile range (IQR)16.39148139

Descriptive statistics

Standard deviation12.99021457
Coefficient of variation (CV)0.6019874987
Kurtosis-0.6277348005
Mean21.57887763
Median Absolute Deviation (MAD)8.190896317
Skewness-0.1901638275
Sum3236831.644
Variance168.7456746
MonotonicityNot monotonic
2024-06-11T19:36:08.498796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25488
 
17.0%
10.83132398 190
 
0.1%
10.55454345 185
 
0.1%
9.974411855 185
 
0.1%
11.10002615 182
 
0.1%
13.01132535 175
 
0.1%
14.42168393 168
 
0.1%
9.669720902 166
 
0.1%
11.36116158 165
 
0.1%
7.964623589 165
 
0.1%
Other values (63730) 122931
82.0%
ValueCountFrequency (%)
0 25488
17.0%
1.480453014 32
 
< 0.1%
1.839588705 3
 
< 0.1%
2.206948961 33
 
< 0.1%
2.569415055 1
 
< 0.1%
ValueCountFrequency (%)
70.66247426 1
< 0.1%
66.72046629 1
< 0.1%
66.44468891 1
< 0.1%
65.80868984 1
< 0.1%
60.42420954 1
< 0.1%

voice_mts_in_drest_part_max_mnt1
Real number (ℝ)

ZEROS 

Distinct109026
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.911981981
Minimum0
Maximum1.480453014
Zeros27024
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:08.565465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.00602583
median1.049793044
Q31.123126304
95-th percentile1.388148357
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.1171004733

Descriptive statistics

Standard deviation0.4414174418
Coefficient of variation (CV)0.484019916
Kurtosis0.4692070808
Mean0.911981981
Median Absolute Deviation (MAD)0.04950941463
Skewness-1.399486069
Sum136797.2972
Variance0.194849358
MonotonicityNot monotonic
2024-06-11T19:36:08.633556image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27024
 
18.0%
1.480453014 4747
 
3.2%
1.082760975 78
 
0.1%
1.164401954 71
 
< 0.1%
1.049793044 49
 
< 0.1%
1.260942818 48
 
< 0.1%
1.113213566 39
 
< 0.1%
1.03324115 37
 
< 0.1%
1.220903412 35
 
< 0.1%
1.063158942 27
 
< 0.1%
Other values (109016) 117845
78.6%
ValueCountFrequency (%)
0 27024
18.0%
1.000000018 1
 
< 0.1%
1.000000026 1
 
< 0.1%
1.000000032 1
 
< 0.1%
1.000000047 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 4747
3.2%
1.480226577 1
 
< 0.1%
1.480156558 1
 
< 0.1%
1.480141363 1
 
< 0.1%
1.479734809 1
 
< 0.1%

pay_avg_min_mnt1
Real number (ℝ)

ZEROS 

Distinct320
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0496296353
Minimum-46.51407661
Maximum48.7308926
Zeros149277
Zeros (%)99.5%
Negative20
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:08.708701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-46.51407661
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.7308926
Range95.24496921
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9514459503
Coefficient of variation (CV)19.17092367
Kurtosis616.2540088
Mean0.0496296353
Median Absolute Deviation (MAD)0
Skewness16.99529787
Sum7444.445295
Variance0.9052493964
MonotonicityNot monotonic
2024-06-11T19:36:08.778452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149277
99.5%
6.749901739 57
 
< 0.1%
10.26911687 38
 
< 0.1%
16.45925281 33
 
< 0.1%
22.29933738 29
 
< 0.1%
12.79226812 22
 
< 0.1%
2.206948961 22
 
< 0.1%
4.210401996 14
 
< 0.1%
8.687248223 14
 
< 0.1%
4.786566308 11
 
< 0.1%
Other values (310) 483
 
0.3%
ValueCountFrequency (%)
-46.51407661 1
< 0.1%
-40.25399929 1
< 0.1%
-39.06409659 1
< 0.1%
-31.8590149 1
< 0.1%
-29.1123722 1
< 0.1%
ValueCountFrequency (%)
48.7308926 1
< 0.1%
47.28768379 1
< 0.1%
36.92330223 1
< 0.1%
33.57110757 2
< 0.1%
32.38373528 2
< 0.1%

conn_out_uniq_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.798701743
Minimum0
Maximum57.19147541
Zeros19868
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:08.847272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.921812056
median5.827795843
Q38.333535892
95-th percentile12.33868121
Maximum57.19147541
Range57.19147541
Interquartile range (IQR)5.411723836

Descriptive statistics

Standard deviation3.885727601
Coefficient of variation (CV)0.6701030288
Kurtosis0.8508834743
Mean5.798701743
Median Absolute Deviation (MAD)2.859452379
Skewness0.5090337707
Sum869805.2614
Variance15.09887899
MonotonicityNot monotonic
2024-06-11T19:36:08.918654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19868
 
13.2%
5.324077125 8110
 
5.4%
4.210401996 8041
 
5.4%
4.786566308 7926
 
5.3%
3.590290394 7729
 
5.2%
5.827795843 7595
 
5.1%
2.921812056 7333
 
4.9%
1.480453014 7155
 
4.8%
6.30189811 7083
 
4.7%
2.206948961 6745
 
4.5%
Other values (161) 62415
41.6%
ValueCountFrequency (%)
0 19868
13.2%
1.480453014 7155
 
4.8%
2.206948961 6745
 
4.5%
2.921812056 7333
 
4.9%
3.590290394 7729
 
5.2%
ValueCountFrequency (%)
57.19147541 1
< 0.1%
44.80770573 1
< 0.1%
40.25399929 1
< 0.1%
37.82578912 1
< 0.1%
37.79766736 1
< 0.1%

voice_mts_out_nwork_partmea_wk1
Real number (ℝ)

ZEROS 

Distinct14049
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5004926405
Minimum0
Maximum1.480453014
Zeros77801
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:08.988058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.011100838
95-th percentile1.105008219
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.011100838

Descriptive statistics

Standard deviation0.5218892481
Coefficient of variation (CV)1.042751093
Kurtosis-1.934616507
Mean0.5004926405
Median Absolute Deviation (MAD)0
Skewness0.1057210005
Sum75073.89607
Variance0.2723683873
MonotonicityNot monotonic
2024-06-11T19:36:09.060633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77801
51.9%
1.049793044 527
 
0.4%
1.023762432 520
 
0.3%
1.03324115 494
 
0.3%
1.082760975 493
 
0.3%
1.017830633 491
 
0.3%
1.480453014 471
 
0.3%
1.013872843 466
 
0.3%
1.011100838 462
 
0.3%
1.00757098 431
 
0.3%
Other values (14039) 67844
45.2%
ValueCountFrequency (%)
0 77801
51.9%
1.000002349 1
 
< 0.1%
1.000002988 1
 
< 0.1%
1.000003217 1
 
< 0.1%
1.00000372 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 471
0.3%
1.476362314 1
 
< 0.1%
1.470972417 1
 
< 0.1%
1.470423722 1
 
< 0.1%
1.468922184 1
 
< 0.1%

voice_out_tar_dur_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct9056
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.88290634
Minimum0
Maximum148.0774395
Zeros11675
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:09.131215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143.55686516
median64.75708517
Q379.22483564
95-th percentile96.17788116
Maximum148.0774395
Range148.0774395
Interquartile range (IQR)35.66797048

Descriptive statistics

Standard deviation27.99377747
Coefficient of variation (CV)0.4754143301
Kurtosis-0.3214544528
Mean58.88290634
Median Absolute Deviation (MAD)16.74346852
Skewness-0.6596311384
Sum8832435.952
Variance783.6515772
MonotonicityNot monotonic
2024-06-11T19:36:09.203275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11675
 
7.8%
4.210401996 1309
 
0.9%
6.749901739 938
 
0.6%
8.687248223 656
 
0.4%
10.26911687 575
 
0.4%
11.61519305 497
 
0.3%
12.79226812 474
 
0.3%
13.84160798 375
 
0.2%
14.79061749 365
 
0.2%
16.45925281 360
 
0.2%
Other values (9046) 132776
88.5%
ValueCountFrequency (%)
0 11675
7.8%
4.210401996 1309
 
0.9%
4.47742162 27
 
< 0.1%
4.786566308 20
 
< 0.1%
5.148887986 39
 
< 0.1%
ValueCountFrequency (%)
148.0774395 1
< 0.1%
143.8192989 1
< 0.1%
142.3932456 1
< 0.1%
140.6046687 1
< 0.1%
139.6041325 1
< 0.1%

sms_out_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct1339
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4954526943
Minimum0
Maximum40.16004286
Zeros115736
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:09.275710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.206948961
Maximum40.16004286
Range40.16004286
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.425974141
Coefficient of variation (CV)2.878123698
Kurtosis82.04629166
Mean0.4954526943
Median Absolute Deviation (MAD)0
Skewness7.17813024
Sum74317.90414
Variance2.033402249
MonotonicityNot monotonic
2024-06-11T19:36:09.357809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115736
77.2%
1.164401954 13011
 
8.7%
1.480453014 4495
 
3.0%
1.839588705 2144
 
1.4%
1.207704776 1908
 
1.3%
1.45108808 1615
 
1.1%
2.206948961 984
 
0.7%
1.7768194 703
 
0.5%
2.569415055 555
 
0.4%
2.921812056 400
 
0.3%
Other values (1329) 8449
 
5.6%
ValueCountFrequency (%)
0 115736
77.2%
1.164401954 13011
 
8.7%
1.207704776 1908
 
1.3%
1.356301179 352
 
0.2%
1.45108808 1615
 
1.1%
ValueCountFrequency (%)
40.16004286 1
< 0.1%
34.56616809 1
< 0.1%
32.96576973 1
< 0.1%
32.01833773 1
< 0.1%
31.31998383 1
< 0.1%

non_accum_internet_vol_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct113415
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.9977874
Minimum-81.81438319
Maximum377.2774385
Zeros31385
Zeros (%)20.9%
Negative290
Negative (%)0.2%
Memory size1.1 MiB
2024-06-11T19:36:09.436009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-81.81438319
5-th percentile0
Q17.866942601
median162.9672853
Q3212.2132109
95-th percentile258.5116731
Maximum377.2774385
Range459.0918217
Interquartile range (IQR)204.3462683

Descriptive statistics

Standard deviation95.95956827
Coefficient of variation (CV)0.7269786121
Kurtosis-1.440773232
Mean131.9977874
Median Absolute Deviation (MAD)67.25123162
Skewness-0.2914537064
Sum19799668.11
Variance9208.238743
MonotonicityNot monotonic
2024-06-11T19:36:09.512572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31385
 
20.9%
1.049793044 920
 
0.6%
1.164401954 307
 
0.2%
1.31316983 205
 
0.1%
1.480453014 151
 
0.1%
1.839588705 134
 
0.1%
1.657607816 109
 
0.1%
2.023336405 92
 
0.1%
2.206948961 90
 
0.1%
2.569415055 68
 
< 0.1%
Other values (113405) 116539
77.7%
ValueCountFrequency (%)
-81.81438319 1
< 0.1%
-72.75491533 1
< 0.1%
-66.23874455 1
< 0.1%
-66.18662864 1
< 0.1%
-66.17616165 1
< 0.1%
ValueCountFrequency (%)
377.2774385 1
< 0.1%
369.4195558 1
< 0.1%
347.8811436 1
< 0.1%
341.5057888 1
< 0.1%
340.9937582 1
< 0.1%

voice_in_td_cnt_min_mnt3
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.216728148
Minimum0
Maximum53.94827308
Zeros44827
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:09.584815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.210401996
Q38.687248223
95-th percentile15.14662631
Maximum53.94827308
Range53.94827308
Interquartile range (IQR)8.687248223

Descriptive statistics

Standard deviation5.240413826
Coefficient of variation (CV)1.004540332
Kurtosis0.3722402657
Mean5.216728148
Median Absolute Deviation (MAD)4.210401996
Skewness0.937963231
Sum782509.2223
Variance27.46193707
MonotonicityNot monotonic
2024-06-11T19:36:09.654079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44827
29.9%
1.480453014 10013
 
6.7%
2.206948961 7637
 
5.1%
2.921812056 6629
 
4.4%
3.590290394 5690
 
3.8%
4.210401996 5180
 
3.5%
4.786566308 4666
 
3.1%
5.324077125 4358
 
2.9%
5.827795843 4051
 
2.7%
6.30189811 3650
 
2.4%
Other values (203) 53299
35.5%
ValueCountFrequency (%)
0 44827
29.9%
1.480453014 10013
 
6.7%
2.206948961 7637
 
5.1%
2.921812056 6629
 
4.4%
3.590290394 5690
 
3.8%
ValueCountFrequency (%)
53.94827308 1
< 0.1%
42.87124622 1
< 0.1%
40.08630216 1
< 0.1%
35.38217056 1
< 0.1%
34.52363878 1
< 0.1%

voice_in_td_cnt_min_mnt1
Real number (ℝ)

ZEROS 

Distinct251
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.975162282
Minimum0
Maximum53.94827308
Zeros29237
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:09.724662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.206948961
median6.30189811
Q311.10002615
95-th percentile17.34626355
Maximum53.94827308
Range53.94827308
Interquartile range (IQR)8.893077188

Descriptive statistics

Standard deviation5.783724945
Coefficient of variation (CV)0.8291885854
Kurtosis-0.1538454006
Mean6.975162282
Median Absolute Deviation (MAD)4.798128038
Skewness0.6342849851
Sum1046274.342
Variance33.45147424
MonotonicityNot monotonic
2024-06-11T19:36:09.898440image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29237
19.5%
1.480453014 8123
 
5.4%
2.206948961 6633
 
4.4%
2.921812056 5781
 
3.9%
3.590290394 5385
 
3.6%
4.210401996 5045
 
3.4%
4.786566308 4557
 
3.0%
5.324077125 4429
 
3.0%
5.827795843 4137
 
2.8%
6.30189811 3825
 
2.5%
Other values (241) 72848
48.6%
ValueCountFrequency (%)
0 29237
19.5%
1.480453014 8123
 
5.4%
2.206948961 6633
 
4.4%
2.921812056 5781
 
3.9%
3.590290394 5385
 
3.6%
ValueCountFrequency (%)
53.94827308 1
< 0.1%
49.55175864 1
< 0.1%
45.15723399 1
< 0.1%
40.86088893 1
< 0.1%
37.16476998 1
< 0.1%

Ama_rchrgmnt_sum_min_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:09.952591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:10.000636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

content_clc_max_mnt1
Real number (ℝ)

SKEWED  ZEROS 

Distinct240
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05602862414
Minimum0
Maximum31.50470831
Zeros147176
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.060359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31.50470831
Range31.50470831
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7097375833
Coefficient of variation (CV)12.66741053
Kurtosis686.598207
Mean0.05602862414
Median Absolute Deviation (MAD)0
Skewness23.85306799
Sum8404.293621
Variance0.5037274372
MonotonicityNot monotonic
2024-06-11T19:36:10.130880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147176
98.1%
1.335271319 1406
 
0.9%
1.889929983 363
 
0.2%
1.109485035 91
 
0.1%
2.463678086 75
 
0.1%
1.148322296 64
 
< 0.1%
1.164401954 59
 
< 0.1%
1.335336222 38
 
< 0.1%
3.539668309 34
 
< 0.1%
22.40636871 29
 
< 0.1%
Other values (230) 665
 
0.4%
ValueCountFrequency (%)
0 147176
98.1%
1.059022846 1
 
< 0.1%
1.061674421 1
 
< 0.1%
1.072791017 2
 
< 0.1%
1.078599093 1
 
< 0.1%
ValueCountFrequency (%)
31.50470831 1
 
< 0.1%
29.47220096 1
 
< 0.1%
28.40174401 1
 
< 0.1%
27.06582606 3
< 0.1%
27.01716766 1
 
< 0.1%

num_act_days_min_mnt1
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.58619163
Minimum0
Maximum5.324077125
Zeros7076
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.190359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q14.786566308
median5.324077125
Q35.324077125
95-th percentile5.324077125
Maximum5.324077125
Range5.324077125
Interquartile range (IQR)0.5375108171

Descriptive statistics

Standard deviation1.380358467
Coefficient of variation (CV)0.3009814194
Kurtosis3.806346032
Mean4.58619163
Median Absolute Deviation (MAD)0
Skewness-2.15458969
Sum687928.7445
Variance1.905389496
MonotonicityNot monotonic
2024-06-11T19:36:10.240982image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.324077125 95268
63.5%
4.786566308 17708
 
11.8%
4.210401996 9778
 
6.5%
0 7076
 
4.7%
3.590290394 6745
 
4.5%
2.921812056 5321
 
3.5%
2.206948961 4162
 
2.8%
1.480453014 3942
 
2.6%
ValueCountFrequency (%)
0 7076
4.7%
1.480453014 3942
2.6%
2.206948961 4162
2.8%
2.921812056 5321
3.5%
3.590290394 6745
4.5%
ValueCountFrequency (%)
5.324077125 95268
63.5%
4.786566308 17708
 
11.8%
4.210401996 9778
 
6.5%
3.590290394 6745
 
4.5%
2.921812056 5321
 
3.5%

sms_in_cnt_max_mnt1
Real number (ℝ)

ZEROS 

Distinct271
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.730002696
Minimum0
Maximum54.10854009
Zeros28267
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.305174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.480453014
median2.921812056
Q35.324077125
95-th percentile10.55454345
Maximum54.10854009
Range54.10854009
Interquartile range (IQR)3.843624111

Descriptive statistics

Standard deviation3.564616479
Coefficient of variation (CV)0.9556605637
Kurtosis8.068318728
Mean3.730002696
Median Absolute Deviation (MAD)1.441359042
Skewness2.008357682
Sum559500.4044
Variance12.70649064
MonotonicityNot monotonic
2024-06-11T19:36:10.380245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28267
18.8%
1.480453014 20570
13.7%
2.206948961 19655
13.1%
2.921812056 14467
9.6%
3.590290394 11730
7.8%
4.210401996 9051
 
6.0%
4.786566308 6998
 
4.7%
5.324077125 5701
 
3.8%
5.827795843 4704
 
3.1%
6.30189811 3790
 
2.5%
Other values (261) 25067
16.7%
ValueCountFrequency (%)
0 28267
18.8%
1.480453014 20570
13.7%
2.206948961 19655
13.1%
2.921812056 14467
9.6%
3.590290394 11730
7.8%
ValueCountFrequency (%)
54.10854009 1
< 0.1%
48.68942831 1
< 0.1%
46.84358942 1
< 0.1%
46.17756345 1
< 0.1%
46.06378095 1
< 0.1%

voice_in_roam_clc_max_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01701903591
Minimum0
Maximum38.58721913
Zeros149854
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.441996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum38.58721913
Range38.58721913
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.575104488
Coefficient of variation (CV)33.79183704
Kurtosis1543.263565
Mean0.01701903591
Median Absolute Deviation (MAD)0
Skewness37.50364262
Sum2552.855387
Variance0.3307451721
MonotonicityNot monotonic
2024-06-11T19:36:10.513483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 149854
99.9%
12.21033147 58
 
< 0.1%
15.9956774 24
 
< 0.1%
26.62102185 19
 
< 0.1%
20.13960725 15
 
< 0.1%
17.18935823 10
 
< 0.1%
20.56367739 6
 
< 0.1%
23.16303128 2
 
< 0.1%
21.74906374 2
 
< 0.1%
25.2960249 2
 
< 0.1%
Other values (8) 8
 
< 0.1%
ValueCountFrequency (%)
0 149854
99.9%
8.921905742 1
 
< 0.1%
12.21033147 58
 
< 0.1%
15.9956774 24
 
< 0.1%
17.18935823 10
 
< 0.1%
ValueCountFrequency (%)
38.58721913 1
< 0.1%
33.64527163 1
< 0.1%
33.19420601 1
< 0.1%
31.04721889 1
< 0.1%
28.91640317 1
< 0.1%

pay_sum_mea_wk1
Real number (ℝ)

ZEROS 

Distinct1459
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.868261836
Minimum-48.71431966
Maximum75.48282529
Zeros120001
Zeros (%)80.0%
Negative3
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:10.586004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-48.71431966
5-th percentile0
Q10
median0
Q30
95-th percentile28.02437138
Maximum75.48282529
Range124.1971449
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.23583789
Coefficient of variation (CV)2.102565194
Kurtosis1.732216231
Mean4.868261836
Median Absolute Deviation (MAD)0
Skewness1.796642385
Sum730239.2754
Variance104.7723773
MonotonicityNot monotonic
2024-06-11T19:36:10.659381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120001
80.0%
22.29933738 2810
 
1.9%
26.17309696 2661
 
1.8%
23.99960696 2231
 
1.5%
29.12504295 1831
 
1.2%
24.76754894 1722
 
1.1%
24.38962268 1380
 
0.9%
25.49022445 1121
 
0.7%
31.96388736 1116
 
0.7%
28.02437138 865
 
0.6%
Other values (1449) 14262
 
9.5%
ValueCountFrequency (%)
-48.71431966 1
 
< 0.1%
-40.34803906 1
 
< 0.1%
-15.65849494 1
 
< 0.1%
0 120001
80.0%
1.00908403 1
 
< 0.1%
ValueCountFrequency (%)
75.48282529 1
< 0.1%
72.49599656 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 1
< 0.1%
67.12657433 1
< 0.1%

voice_mts_out_nwork_partstd_mnt3
Real number (ℝ)

ZEROS 

Distinct105259
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.794895455
Minimum0
Maximum1.17253086
Zeros32537
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.728104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000230966
median1.004899447
Q31.014807932
95-th percentile1.052946614
Maximum1.17253086
Range1.17253086
Interquartile range (IQR)0.01457696548

Descriptive statistics

Standard deviation0.4186930324
Coefficient of variation (CV)0.5267271687
Kurtosis-0.1189989204
Mean0.794895455
Median Absolute Deviation (MAD)0.007925093157
Skewness-1.367786732
Sum119234.3183
Variance0.1753038554
MonotonicityNot monotonic
2024-06-11T19:36:10.798395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32537
 
21.7%
1.064320397 1169
 
0.8%
1.01817803 446
 
0.3%
1.008440556 371
 
0.2%
1.00485579 295
 
0.2%
1.003150561 257
 
0.2%
1.002208149 223
 
0.1%
1.001256603 184
 
0.1%
1.001633101 178
 
0.1%
1.00099675 173
 
0.1%
Other values (105249) 114167
76.1%
ValueCountFrequency (%)
0 32537
21.7%
1.00000012 1
 
< 0.1%
1.000000126 1
 
< 0.1%
1.00000018 1
 
< 0.1%
1.000000333 1
 
< 0.1%
ValueCountFrequency (%)
1.17253086 1
< 0.1%
1.165169324 1
< 0.1%
1.161063722 1
< 0.1%
1.160290336 2
< 0.1%
1.15683667 1
< 0.1%

all_cnt_std_mnt3
Real number (ℝ)

Distinct88362
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.50512294
Minimum0
Maximum88.16443083
Zeros308
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.866577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.750337038
Q19.10839809
median12.41936058
Q316.65591956
95-th percentile25.06805109
Maximum88.16443083
Range88.16443083
Interquartile range (IQR)7.547521471

Descriptive statistics

Standard deviation6.2371912
Coefficient of variation (CV)0.4618389056
Kurtosis4.609243733
Mean13.50512294
Median Absolute Deviation (MAD)3.662839913
Skewness1.393450214
Sum2025768.442
Variance38.90255406
MonotonicityNot monotonic
2024-06-11T19:36:10.931562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 308
 
0.2%
1.064320397 57
 
< 0.1%
6.177997481 23
 
< 0.1%
1.207704776 23
 
< 0.1%
8.037474494 22
 
< 0.1%
1.38913981 21
 
< 0.1%
2.010130606 21
 
< 0.1%
6.108981085 20
 
< 0.1%
7.305181996 19
 
< 0.1%
6.36152534 19
 
< 0.1%
Other values (88352) 149467
99.6%
ValueCountFrequency (%)
0 308
0.2%
1.064320397 57
 
< 0.1%
1.102789099 1
 
< 0.1%
1.10808554 13
 
< 0.1%
1.139222859 6
 
< 0.1%
ValueCountFrequency (%)
88.16443083 1
< 0.1%
85.97176118 1
< 0.1%
82.54256745 1
< 0.1%
82.0430011 1
< 0.1%
79.26826701 1
< 0.1%

voice_mts_in_nwork_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct124539
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8606208963
Minimum0
Maximum1.167970476
Zeros23206
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:10.994682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001219495
median1.007399247
Q31.020244779
95-th percentile1.063907294
Maximum1.167970476
Range1.167970476
Interquartile range (IQR)0.01902528364

Descriptive statistics

Standard deviation0.3687024673
Coefficient of variation (CV)0.4284144957
Kurtosis1.624547376
Mean0.8606208963
Median Absolute Deviation (MAD)0.00733331238
Skewness-1.897712099
Sum129093.1344
Variance0.1359415094
MonotonicityNot monotonic
2024-06-11T19:36:11.064637image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23206
 
15.5%
1.064320397 1407
 
0.9%
1.10808554 114
 
0.1%
1.008440556 22
 
< 0.1%
1.139222859 21
 
< 0.1%
1.01817803 19
 
< 0.1%
1.00485579 12
 
< 0.1%
1.003150561 8
 
< 0.1%
1.015201197 7
 
< 0.1%
1.030979552 7
 
< 0.1%
Other values (124529) 125177
83.5%
ValueCountFrequency (%)
0 23206
15.5%
1 1
 
< 0.1%
1.000000001 1
 
< 0.1%
1.000000002 1
 
< 0.1%
1.000000002 1
 
< 0.1%
ValueCountFrequency (%)
1.167970476 1
 
< 0.1%
1.161607069 1
 
< 0.1%
1.160827413 1
 
< 0.1%
1.160640076 1
 
< 0.1%
1.160290336 3
< 0.1%

sms_out_cnt_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01323626337
Minimum0
Maximum60.98506843
Zeros149477
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:11.130134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum60.98506843
Range60.98506843
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3452540963
Coefficient of variation (CV)26.08395488
Kurtosis7789.581931
Mean0.01323626337
Median Absolute Deviation (MAD)0
Skewness64.82841666
Sum1985.439505
Variance0.119200391
MonotonicityNot monotonic
2024-06-11T19:36:11.195895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 149477
99.7%
1.480453014 231
 
0.2%
2.206948961 81
 
0.1%
2.921812056 47
 
< 0.1%
4.786566308 20
 
< 0.1%
3.590290394 16
 
< 0.1%
4.210401996 13
 
< 0.1%
5.827795843 13
 
< 0.1%
6.30189811 12
 
< 0.1%
5.324077125 10
 
< 0.1%
Other values (35) 80
 
0.1%
ValueCountFrequency (%)
0 149477
99.7%
1.480453014 231
 
0.2%
2.206948961 81
 
0.1%
2.921812056 47
 
< 0.1%
3.590290394 16
 
< 0.1%
ValueCountFrequency (%)
60.98506843 1
< 0.1%
24.9155146 1
< 0.1%
23.75943179 1
< 0.1%
23.00874495 1
< 0.1%
20.41917452 1
< 0.1%

pay_max_std_mnt1
Real number (ℝ)

ZEROS 

Distinct6490
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.430145
Minimum0
Maximum61.25789741
Zeros51277
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:11.264295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.45925281
Q319.75525126
95-th percentile24.76754894
Maximum61.25789741
Range61.25789741
Interquartile range (IQR)19.75525126

Descriptive statistics

Standard deviation9.808253098
Coefficient of variation (CV)0.7890698862
Kurtosis-1.217580001
Mean12.430145
Median Absolute Deviation (MAD)5.840084579
Skewness-0.1774061054
Sum1864521.75
Variance96.20182884
MonotonicityNot monotonic
2024-06-11T19:36:11.330846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51277
34.2%
16.45925281 9806
 
6.5%
19.75525126 8723
 
5.8%
17.89928393 8066
 
5.4%
18.55320686 5835
 
3.9%
22.29933738 5136
 
3.4%
18.2311323 4975
 
3.3%
24.76754894 4010
 
2.7%
19.17043973 3839
 
2.6%
21.34785349 2896
 
1.9%
Other values (6480) 45437
30.3%
ValueCountFrequency (%)
0 51277
34.2%
1.00238048 1
 
< 0.1%
1.007426595 1
 
< 0.1%
1.00908403 1
 
< 0.1%
1.012843391 1
 
< 0.1%
ValueCountFrequency (%)
61.25789741 1
< 0.1%
57.02418135 1
< 0.1%
56.77016268 1
< 0.1%
56.33829835 1
< 0.1%
54.36309795 1
< 0.1%

voice_out_td_cnt_max_mnt3
Real number (ℝ)

ZEROS 

Distinct419
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5480049
Minimum0
Maximum48.55043987
Zeros11675
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:11.493001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.578965206
median12.79226812
Q317.62631161
95-th percentile23.99960696
Maximum48.55043987
Range48.55043987
Interquartile range (IQR)10.0473464

Descriptive statistics

Standard deviation7.198518078
Coefficient of variation (CV)0.5736782967
Kurtosis-0.5107367589
Mean12.5480049
Median Absolute Deviation (MAD)5.107015807
Skewness0.03012246271
Sum1882200.735
Variance51.81866252
MonotonicityNot monotonic
2024-06-11T19:36:11.561262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11675
 
7.8%
1.480453014 3723
 
2.5%
2.206948961 2615
 
1.7%
2.921812056 2325
 
1.6%
3.590290394 2222
 
1.5%
5.827795843 2197
 
1.5%
4.210401996 2163
 
1.4%
9.669720902 2156
 
1.4%
6.749901739 2126
 
1.4%
8.333535892 2120
 
1.4%
Other values (409) 116678
77.8%
ValueCountFrequency (%)
0 11675
7.8%
1.480453014 3723
 
2.5%
2.206948961 2615
 
1.7%
2.921812056 2325
 
1.6%
3.590290394 2222
 
1.5%
ValueCountFrequency (%)
48.55043987 1
< 0.1%
45.9820024 1
< 0.1%
45.48220477 1
< 0.1%
44.52233141 1
< 0.1%
43.4607722 1
< 0.1%

pay_max_min_mnt1
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05504944441
Minimum-47.28768379
Maximum51.86112364
Zeros149271
Zeros (%)99.5%
Negative15
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:11.628345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-47.28768379
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51.86112364
Range99.14880743
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.015958048
Coefficient of variation (CV)18.45537333
Kurtosis597.0259208
Mean0.05504944441
Median Absolute Deviation (MAD)0
Skewness17.35827464
Sum8257.416661
Variance1.032170756
MonotonicityNot monotonic
2024-06-11T19:36:11.701018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149271
99.5%
6.749901739 78
 
0.1%
10.26911687 65
 
< 0.1%
16.45925281 47
 
< 0.1%
12.79226812 42
 
< 0.1%
22.29933738 42
 
< 0.1%
9.354248899 25
 
< 0.1%
2.206948961 25
 
< 0.1%
8.687248223 24
 
< 0.1%
4.210401996 22
 
< 0.1%
Other values (160) 359
 
0.2%
ValueCountFrequency (%)
-47.28768379 1
< 0.1%
-46.51407661 1
< 0.1%
-39.06409659 1
< 0.1%
-37.31397149 1
< 0.1%
-25.70594484 1
< 0.1%
ValueCountFrequency (%)
51.86112364 1
< 0.1%
49.34043561 1
< 0.1%
48.7308926 1
< 0.1%
36.92757359 1
< 0.1%
33.57110757 2
< 0.1%

pay_sum_max_mnt3
Real number (ℝ)

ZEROS 

Distinct3275
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.14069962
Minimum0
Maximum152.6948285
Zeros25611
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:11.771245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.27646807
median25.45507711
Q329.12504295
95-th percentile34.12856843
Maximum152.6948285
Range152.6948285
Interquartile range (IQR)6.848574875

Descriptive statistics

Standard deviation11.5990512
Coefficient of variation (CV)0.5238791634
Kurtosis0.3657242053
Mean22.14069962
Median Absolute Deviation (MAD)3.669965841
Skewness-0.7608256478
Sum3321104.943
Variance134.5379887
MonotonicityNot monotonic
2024-06-11T19:36:11.845204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25611
17.1%
26.17309696 13299
 
8.9%
29.12504295 10681
 
7.1%
22.29933738 8816
 
5.9%
23.99960696 7948
 
5.3%
24.76754894 7109
 
4.7%
24.38962268 5289
 
3.5%
25.49022445 4622
 
3.1%
33.57110757 4417
 
2.9%
31.96388736 4080
 
2.7%
Other values (3265) 58128
38.8%
ValueCountFrequency (%)
0 25611
17.1%
1.00908403 2
 
< 0.1%
1.046272906 1
 
< 0.1%
1.053412628 1
 
< 0.1%
1.060939898 1
 
< 0.1%
ValueCountFrequency (%)
152.6948285 1
< 0.1%
84.80564306 1
< 0.1%
84.55025616 1
< 0.1%
83.31779923 1
< 0.1%
78.78284666 1
< 0.1%

voice_out_cmpttrs_td_cntstd_mnt3
Real number (ℝ)

ZEROS 

Distinct14455
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.801639484
Minimum0
Maximum29.65163361
Zeros25721
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:11.918083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.139222859
median2.066784865
Q33.894654526
95-th percentile8.065696765
Maximum29.65163361
Range29.65163361
Interquartile range (IQR)2.755431667

Descriptive statistics

Standard deviation2.604008258
Coefficient of variation (CV)0.9294587233
Kurtosis3.793472622
Mean2.801639484
Median Absolute Deviation (MAD)1.108057009
Skewness1.623287152
Sum420245.9226
Variance6.780859008
MonotonicityNot monotonic
2024-06-11T19:36:11.985347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25721
 
17.1%
1.064320397 6807
 
4.5%
1.10808554 3144
 
2.1%
1.23367744 1910
 
1.3%
1.207704776 1769
 
1.2%
1.251588959 1596
 
1.1%
1.139222859 1547
 
1.0%
1.26210277 1282
 
0.9%
1.412203867 1176
 
0.8%
1.340902659 1013
 
0.7%
Other values (14445) 104035
69.4%
ValueCountFrequency (%)
0 25721
17.1%
1.064320397 6807
 
4.5%
1.069446038 48
 
< 0.1%
1.075498494 33
 
< 0.1%
1.082760975 60
 
< 0.1%
ValueCountFrequency (%)
29.65163361 1
< 0.1%
28.86847802 1
< 0.1%
26.92409297 1
< 0.1%
26.77276923 1
< 0.1%
24.56536923 1
< 0.1%

voice_in_td_cnt_mea_wk1
Real number (ℝ)

ZEROS 

Distinct302
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.950918498
Minimum0
Maximum56.21540775
Zeros17343
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:12.048553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.590290394
median8.687248223
Q313.22556513
95-th percentile19.64070361
Maximum56.21540775
Range56.21540775
Interquartile range (IQR)9.635274733

Descriptive statistics

Standard deviation6.210191456
Coefficient of variation (CV)0.6938049382
Kurtosis-0.3848300458
Mean8.950918498
Median Absolute Deviation (MAD)4.747970327
Skewness0.3936920329
Sum1342637.775
Variance38.56647792
MonotonicityNot monotonic
2024-06-11T19:36:12.114097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17343
 
11.6%
1.480453014 6335
 
4.2%
2.206948961 5273
 
3.5%
2.921812056 4689
 
3.1%
3.590290394 4371
 
2.9%
4.210401996 4184
 
2.8%
4.786566308 4016
 
2.7%
5.324077125 3930
 
2.6%
5.827795843 3714
 
2.5%
6.30189811 3590
 
2.4%
Other values (292) 92555
61.7%
ValueCountFrequency (%)
0 17343
11.6%
1.480453014 6335
 
4.2%
2.206948961 5273
 
3.5%
2.921812056 4689
 
3.1%
3.590290394 4371
 
2.9%
ValueCountFrequency (%)
56.21540775 1
< 0.1%
49.55175864 1
< 0.1%
45.15723399 1
< 0.1%
41.74915696 1
< 0.1%
40.30156821 1
< 0.1%

goodok_clc_std_mnt3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:12.168688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:12.217803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

voice_in_mts_avg_dur_min_mnt3
Real number (ℝ)

ZEROS 

Distinct43215
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.85925424
Minimum0
Maximum50.70367167
Zeros58517
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:12.277918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.9242941
Q320.20215743
95-th percentile30.36732914
Maximum50.70367167
Range50.70367167
Interquartile range (IQR)20.20215743

Descriptive statistics

Standard deviation11.01310828
Coefficient of variation (CV)0.9286509969
Kurtosis-1.007117262
Mean11.85925424
Median Absolute Deviation (MAD)12.9242941
Skewness0.3384992569
Sum1778888.137
Variance121.2885539
MonotonicityNot monotonic
2024-06-11T19:36:12.346391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58517
39.0%
9.027097853 306
 
0.2%
8.687248223 302
 
0.2%
9.974411855 290
 
0.2%
10.26911687 287
 
0.2%
9.669720902 274
 
0.2%
8.333535892 273
 
0.2%
7.964623589 263
 
0.2%
10.83132398 261
 
0.2%
9.354248899 261
 
0.2%
Other values (43205) 88966
59.3%
ValueCountFrequency (%)
0 58517
39.0%
1.480453014 65
 
< 0.1%
1.839588705 4
 
< 0.1%
2.206948961 76
 
0.1%
2.449550514 1
 
< 0.1%
ValueCountFrequency (%)
50.70367167 1
< 0.1%
50.63805689 1
< 0.1%
50.10877228 1
< 0.1%
50.07381923 1
< 0.1%
50.01871548 1
< 0.1%

voice_mts_out_nrest_partmea_mnt1
Real number (ℝ)

ZEROS 

Distinct56900
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5641590557
Minimum0
Maximum1.342767078
Zeros65828
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:12.412950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000050658
Q31.001863836
95-th percentile1.015561577
Maximum1.342767078
Range1.342767078
Interquartile range (IQR)1.001863836

Descriptive statistics

Standard deviation0.49898445
Coefficient of variation (CV)0.8844747682
Kurtosis-1.938420374
Mean0.5641590557
Median Absolute Deviation (MAD)0.01324202822
Skewness-0.2455337261
Sum84623.85835
Variance0.2489854813
MonotonicityNot monotonic
2024-06-11T19:36:12.483240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65828
43.9%
1.049793044 537
 
0.4%
1.003675345 346
 
0.2%
1.000946895 317
 
0.2%
1.001666435 311
 
0.2%
1.001231401 310
 
0.2%
1.013872843 308
 
0.2%
1.006406835 301
 
0.2%
1.000750704 299
 
0.2%
1.00238048 290
 
0.2%
Other values (56890) 81153
54.1%
ValueCountFrequency (%)
0 65828
43.9%
1.000000077 1
 
< 0.1%
1.000000086 1
 
< 0.1%
1.000000102 1
 
< 0.1%
1.000000117 1
 
< 0.1%
ValueCountFrequency (%)
1.342767078 1
< 0.1%
1.25182152 1
< 0.1%
1.239831018 1
< 0.1%
1.232986737 1
< 0.1%
1.230751894 1
< 0.1%

voice_in_fix_tar_dur_max_mnt3
Real number (ℝ)

ZEROS 

Distinct2515
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.612806338
Minimum0
Maximum102.8718192
Zeros84304
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:12.552643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316.91199372
95-th percentile39.44631402
Maximum102.8718192
Range102.8718192
Interquartile range (IQR)16.91199372

Descriptive statistics

Standard deviation13.9640661
Coefficient of variation (CV)1.45265239
Kurtosis1.908774887
Mean9.612806338
Median Absolute Deviation (MAD)0
Skewness1.525204739
Sum1441920.951
Variance194.995142
MonotonicityNot monotonic
2024-06-11T19:36:12.619605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84304
56.2%
1.480453014 1130
 
0.8%
9.354248899 952
 
0.6%
9.974411855 932
 
0.6%
9.669720902 927
 
0.6%
10.26911687 922
 
0.6%
8.687248223 907
 
0.6%
9.027097853 859
 
0.6%
10.55454345 787
 
0.5%
11.10002615 765
 
0.5%
Other values (2505) 57515
38.3%
ValueCountFrequency (%)
0 84304
56.2%
1.480453014 1130
 
0.8%
2.206948961 255
 
0.2%
2.921812056 274
 
0.2%
3.590290394 270
 
0.2%
ValueCountFrequency (%)
102.8718192 1
< 0.1%
102.0391124 1
< 0.1%
101.9801049 1
< 0.1%
100.4991109 1
< 0.1%
100.1659952 1
< 0.1%

abon_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct13065
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01486775687
Minimum-1.012526918
Maximum1.00872378
Zeros116580
Zeros (%)77.7%
Negative15596
Negative (%)10.4%
Memory size1.1 MiB
2024-06-11T19:36:12.684996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.012526918
5-th percentile-1.000300379
Q10
median0
Q30
95-th percentile1.000434272
Maximum1.00872378
Range2.021250698
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4720321125
Coefficient of variation (CV)31.74871076
Kurtosis1.485447047
Mean0.01486775687
Median Absolute Deviation (MAD)0
Skewness0.04711464346
Sum2230.16353
Variance0.2228143152
MonotonicityNot monotonic
2024-06-11T19:36:12.757541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116580
77.7%
1.000108887 1991
 
1.3%
1.001424332 1572
 
1.0%
-1.000108887 1237
 
0.8%
-1.00095998 1196
 
0.8%
-1.000300379 1159
 
0.8%
1.00095998 1122
 
0.7%
1.000300379 1122
 
0.7%
-1.000012183 1028
 
0.7%
1.000012183 1008
 
0.7%
Other values (13055) 21985
 
14.7%
ValueCountFrequency (%)
-1.012526918 1
< 0.1%
-1.009935946 1
< 0.1%
-1.0073325 1
< 0.1%
-1.006868018 1
< 0.1%
-1.006482814 1
< 0.1%
ValueCountFrequency (%)
1.00872378 1
< 0.1%
1.008094364 1
< 0.1%
1.008031675 1
< 0.1%
1.007539653 1
< 0.1%
1.007374751 1
< 0.1%

all_home_clc_std_mnt1
Real number (ℝ)

ZEROS 

Distinct19338
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.662477672
Minimum0
Maximum31.27642512
Zeros89785
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:12.826383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.118332641
95-th percentile8.346617187
Maximum31.27642512
Range31.27642512
Interquartile range (IQR)2.118332641

Descriptive statistics

Standard deviation3.052188979
Coefficient of variation (CV)1.835927802
Kurtosis8.330588256
Mean1.662477672
Median Absolute Deviation (MAD)0
Skewness2.64286822
Sum249371.6508
Variance9.315857561
MonotonicityNot monotonic
2024-06-11T19:36:12.891627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89785
59.9%
1.213999962 5579
 
3.7%
2.743301695 4565
 
3.0%
1.213796097 3158
 
2.1%
4.497536115 1061
 
0.7%
1.604559563 1006
 
0.7%
1.268649845 943
 
0.6%
1.109437505 700
 
0.5%
3.539409262 697
 
0.5%
1.000000002 636
 
0.4%
Other values (19328) 41870
27.9%
ValueCountFrequency (%)
0 89785
59.9%
1.000000002 636
 
0.4%
1.000000003 124
 
0.1%
1.000000007 12
 
< 0.1%
1.000000009 34
 
< 0.1%
ValueCountFrequency (%)
31.27642512 1
< 0.1%
30.69179506 1
< 0.1%
30.57367368 1
< 0.1%
28.73764252 1
< 0.1%
28.08315033 1
< 0.1%

voice_out_fix_tar_dur_min_mnt3
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01942298754
Minimum0
Maximum61.96990886
Zeros149897
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:13.052476image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum61.96990886
Range61.96990886
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7970808344
Coefficient of variation (CV)41.03801399
Kurtosis2504.276622
Mean0.01942298754
Median Absolute Deviation (MAD)0
Skewness47.19583109
Sum2913.448131
Variance0.6353378565
MonotonicityNot monotonic
2024-06-11T19:36:13.110551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 149897
99.9%
17.89928393 36
 
< 0.1%
23.99960696 21
 
< 0.1%
28.02437138 8
 
< 0.1%
31.0829974 7
 
< 0.1%
35.67888361 6
 
< 0.1%
33.57110757 5
 
< 0.1%
43.16883893 2
 
< 0.1%
37.51341156 2
 
< 0.1%
39.14133654 2
 
< 0.1%
Other values (13) 14
 
< 0.1%
ValueCountFrequency (%)
0 149897
99.9%
17.89928393 36
 
< 0.1%
23.99960696 21
 
< 0.1%
28.02437138 8
 
< 0.1%
31.0829974 7
 
< 0.1%
ValueCountFrequency (%)
61.96990886 1
< 0.1%
61.58506093 1
< 0.1%
57.19147541 1
< 0.1%
56.16246998 1
< 0.1%
53.28104352 1
< 0.1%

block_all_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct7504
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.392041915
Minimum0
Maximum161.2928982
Zeros142433
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:13.176134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.868174218
Maximum161.2928982
Range161.2928982
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.20981093
Coefficient of variation (CV)4.413270642
Kurtosis16.57849224
Mean6.392041915
Median Absolute Deviation (MAD)0
Skewness4.271862434
Sum958806.2873
Variance795.7934326
MonotonicityNot monotonic
2024-06-11T19:36:13.251203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142433
95.0%
1.207704776 35
 
< 0.1%
1.10808554 11
 
< 0.1%
1.064320397 5
 
< 0.1%
5.726691979 3
 
< 0.1%
5.286665607 2
 
< 0.1%
127.429001 2
 
< 0.1%
108.5918074 2
 
< 0.1%
136.1764422 2
 
< 0.1%
116.3266291 2
 
< 0.1%
Other values (7494) 7503
 
5.0%
ValueCountFrequency (%)
0 142433
95.0%
1.064320397 5
 
< 0.1%
1.10808554 11
 
< 0.1%
1.207704776 35
 
< 0.1%
1.23367744 1
 
< 0.1%
ValueCountFrequency (%)
161.2928982 1
< 0.1%
160.9591233 1
< 0.1%
160.7301785 1
< 0.1%
160.7214124 1
< 0.1%
160.6580111 1
< 0.1%

com_num_part_std_mnt1
Real number (ℝ)

ZEROS 

Distinct60021
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.867849224
Minimum0
Maximum1.589289213
Zeros23307
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:13.324331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.001670256
median1.00729373
Q31.022301071
95-th percentile1.126642306
Maximum1.589289213
Range1.589289213
Interquartile range (IQR)0.0206308148

Descriptive statistics

Standard deviation0.3748095105
Coefficient of variation (CV)0.4318832122
Kurtosis1.525651437
Mean0.867849224
Median Absolute Deviation (MAD)0.007059801586
Skewness-1.839408551
Sum130177.3836
Variance0.1404821692
MonotonicityNot monotonic
2024-06-11T19:36:13.396823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23307
 
15.5%
1.164401954 3090
 
2.1%
1.049793044 2905
 
1.9%
1.023762432 1816
 
1.2%
1.013872843 1782
 
1.2%
1.006406835 1236
 
0.8%
1.00908403 1158
 
0.8%
1.207704776 892
 
0.6%
1.153015916 882
 
0.6%
1.004760016 764
 
0.5%
Other values (60011) 112168
74.8%
ValueCountFrequency (%)
0 23307
15.5%
1 2
 
< 0.1%
1.000001117 1
 
< 0.1%
1.000001257 1
 
< 0.1%
1.000001416 1
 
< 0.1%
ValueCountFrequency (%)
1.589289213 6
 
< 0.1%
1.550471024 1
 
< 0.1%
1.501856326 6
 
< 0.1%
1.480453014 83
0.1%
1.463443282 1
 
< 0.1%

voice_mts_in_nwork_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct124512
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8563109993
Minimum0
Maximum1.385727892
Zeros23206
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:13.472035image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000314384
median1.004295376
Q31.013678747
95-th percentile1.044256888
Maximum1.385727892
Range1.385727892
Interquartile range (IQR)0.01336436298

Descriptive statistics

Standard deviation0.3667924347
Coefficient of variation (CV)0.4283402117
Kurtosis1.627895937
Mean0.8563109993
Median Absolute Deviation (MAD)0.004582387478
Skewness-1.898926221
Sum128446.6499
Variance0.1345366902
MonotonicityNot monotonic
2024-06-11T19:36:13.543582image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23206
 
15.5%
1.006406835 1408
 
0.9%
1.023762432 114
 
0.1%
1.000750704 22
 
< 0.1%
1.049793044 21
 
< 0.1%
1.001666435 20
 
< 0.1%
1.000425155 12
 
< 0.1%
1.000273218 8
 
< 0.1%
1.00066092 7
 
< 0.1%
1.001382278 7
 
< 0.1%
Other values (124502) 125175
83.5%
ValueCountFrequency (%)
0 23206
15.5%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1.385727892 1
< 0.1%
1.311949441 1
< 0.1%
1.308566607 1
< 0.1%
1.30025542 1
< 0.1%
1.298545603 1
< 0.1%

sms_in_cnt_std_mnt1
Real number (ℝ)

ZEROS 

Distinct2170
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.029853694
Minimum0
Maximum37.2815079
Zeros28663
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:13.618717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.164401954
median1.663597369
Q32.581300913
95-th percentile5.36093755
Maximum37.2815079
Range37.2815079
Interquartile range (IQR)1.416898959

Descriptive statistics

Standard deviation1.934810814
Coefficient of variation (CV)0.9531774726
Kurtosis22.55629458
Mean2.029853694
Median Absolute Deviation (MAD)0.6030861616
Skewness3.168976692
Sum304478.0542
Variance3.743492887
MonotonicityNot monotonic
2024-06-11T19:36:13.690301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28663
19.1%
1.164401954 16219
 
10.8%
1.45108808 9358
 
6.2%
1.480453014 6908
 
4.6%
1.207704776 6478
 
4.3%
1.839588705 5794
 
3.9%
1.7768194 3965
 
2.6%
1.356301179 3904
 
2.6%
1.663597369 3192
 
2.1%
1.687217756 2919
 
1.9%
Other values (2160) 62600
41.7%
ValueCountFrequency (%)
0 28663
19.1%
1.164401954 16219
10.8%
1.207704776 6478
 
4.3%
1.356301179 3904
 
2.6%
1.45108808 9358
 
6.2%
ValueCountFrequency (%)
37.2815079 1
< 0.1%
35.48109755 1
< 0.1%
34.18058191 1
< 0.1%
33.39515564 1
< 0.1%
30.62819356 1
< 0.1%

voice_mts_out_drest_partmin_mnt3
Real number (ℝ)

ZEROS 

Distinct6749
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2405220215
Minimum0
Maximum1.140395181
Zeros114055
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:13.757558image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.005832832
Maximum1.140395181
Range1.140395181
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4284517389
Coefficient of variation (CV)1.781341002
Kurtosis-0.5112700862
Mean0.2405220215
Median Absolute Deviation (MAD)0
Skewness1.220055173
Sum36078.30323
Variance0.1835708926
MonotonicityNot monotonic
2024-06-11T19:36:13.827152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114055
76.0%
1.001666435 187
 
0.1%
1.003675345 181
 
0.1%
1.001538264 176
 
0.1%
1.002164112 174
 
0.1%
1.001811321 173
 
0.1%
1.001149315 169
 
0.1%
1.002631002 169
 
0.1%
1.004165221 165
 
0.1%
1.002923264 164
 
0.1%
Other values (6739) 34387
 
22.9%
ValueCountFrequency (%)
0 114055
76.0%
1.000001217 1
 
< 0.1%
1.00000125 1
 
< 0.1%
1.000001814 1
 
< 0.1%
1.000002327 1
 
< 0.1%
ValueCountFrequency (%)
1.140395181 1
< 0.1%
1.1329646 1
< 0.1%
1.088358468 1
< 0.1%
1.082760975 1
< 0.1%
1.063366682 1
< 0.1%

non_accum_internet_vol_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct123123
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.1320541
Minimum-67.9187785
Maximum359.8841334
Zeros24878
Zeros (%)16.6%
Negative299
Negative (%)0.2%
Memory size1.1 MiB
2024-06-11T19:36:13.895790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-67.9187785
5-th percentile0
Q140.43067861
median171.3163648
Q3212.0024711
95-th percentile256.4918567
Maximum359.8841334
Range427.8029119
Interquartile range (IQR)171.5717925

Descriptive statistics

Standard deviation90.81959156
Coefficient of variation (CV)0.6435078987
Kurtosis-1.17380195
Mean141.1320541
Median Absolute Deviation (MAD)53.76274631
Skewness-0.4950232883
Sum21169808.11
Variance8248.198211
MonotonicityNot monotonic
2024-06-11T19:36:13.958861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24878
 
16.6%
1.006406835 356
 
0.2%
1.023762432 199
 
0.1%
1.049793044 186
 
0.1%
1.082760975 70
 
< 0.1%
1.121317553 56
 
< 0.1%
1.164401954 48
 
< 0.1%
1.211169962 47
 
< 0.1%
6.028721793 41
 
< 0.1%
1.260942818 33
 
< 0.1%
Other values (123113) 124086
82.7%
ValueCountFrequency (%)
-67.9187785 1
< 0.1%
-67.90576451 1
< 0.1%
-59.53810333 1
< 0.1%
-56.68786278 1
< 0.1%
-55.42168635 1
< 0.1%
ValueCountFrequency (%)
359.8841334 1
< 0.1%
353.7651428 1
< 0.1%
338.5542595 1
< 0.1%
337.8413616 1
< 0.1%
335.5251262 1
< 0.1%

accum_oth_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1371
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4443538364
Minimum-1
Maximum1.002688644
Zeros83172
Zeros (%)55.4%
Negative88
Negative (%)0.1%
Memory size1.1 MiB
2024-06-11T19:36:14.022510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31.000001037
95-th percentile1.000030964
Maximum1.002688644
Range2.002688644
Interquartile range (IQR)1.000001037

Descriptive statistics

Standard deviation0.4980819845
Coefficient of variation (CV)1.120912983
Kurtosis-1.918105749
Mean0.4443538364
Median Absolute Deviation (MAD)0
Skewness0.2097618568
Sum66653.07547
Variance0.2480856633
MonotonicityNot monotonic
2024-06-11T19:36:14.093130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83172
55.4%
1.000000004 4015
 
2.7%
1.000000014 3169
 
2.1%
1.000000032 2560
 
1.7%
1.000000058 2178
 
1.5%
1.00000009 1879
 
1.3%
1.00000013 1673
 
1.1%
1.000000176 1545
 
1.0%
1.00000023 1430
 
1.0%
1.000000291 1331
 
0.9%
Other values (1361) 47048
31.4%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-1 1
 
< 0.1%
-1 7
 
< 0.1%
-1 12
 
< 0.1%
-1 67
< 0.1%
ValueCountFrequency (%)
1.002688644 1
< 0.1%
1.002485647 1
< 0.1%
1.00235083 1
< 0.1%
1.002065817 1
< 0.1%
1.002039837 1
< 0.1%

pay_p2p_out_sum_td_mnt3
Real number (ℝ)

ZEROS 

Distinct519
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001367822518
Minimum-29.43086187
Maximum26.12653921
Zeros148549
Zeros (%)99.0%
Negative753
Negative (%)0.5%
Memory size1.1 MiB
2024-06-11T19:36:14.160175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-29.43086187
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.12653921
Range55.55740108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.327873655
Coefficient of variation (CV)-239.7048233
Kurtosis2097.224724
Mean-0.001367822518
Median Absolute Deviation (MAD)0
Skewness-5.883432043
Sum-205.1733777
Variance0.1075011336
MonotonicityNot monotonic
2024-06-11T19:36:14.225397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148549
99.0%
1.0748555 25
 
< 0.1%
1.009950143 23
 
< 0.1%
-1.009950143 23
 
< 0.1%
1.025959445 22
 
< 0.1%
-1.025959445 21
 
< 0.1%
-1.047934251 21
 
< 0.1%
-1.238333209 20
 
< 0.1%
1.036270046 20
 
< 0.1%
-1.105899739 20
 
< 0.1%
Other values (509) 1256
 
0.8%
ValueCountFrequency (%)
-29.43086187 1
< 0.1%
-28.02939156 1
< 0.1%
-22.50083434 1
< 0.1%
-17.2350775 1
< 0.1%
-16.57453244 1
< 0.1%
ValueCountFrequency (%)
26.12653921 1
< 0.1%
21.30826871 1
< 0.1%
20.97695506 1
< 0.1%
20.41503989 1
< 0.1%
16.36720102 1
< 0.1%

voice_out_tar_dur_std_mnt3
Real number (ℝ)

ZEROS 

Distinct89281
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.98382768
Minimum0
Maximum134.0618221
Zeros11675
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:14.292579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143.88990366
median57.77424182
Q367.90919896
95-th percentile81.20249491
Maximum134.0618221
Range134.0618221
Interquartile range (IQR)24.01929531

Descriptive statistics

Standard deviation22.29682923
Coefficient of variation (CV)0.4208233004
Kurtosis0.4381801908
Mean52.98382768
Median Absolute Deviation (MAD)11.51894825
Skewness-0.9405291689
Sum7947574.152
Variance497.1485938
MonotonicityNot monotonic
2024-06-11T19:36:14.364523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11675
 
7.8%
9.456586673 1309
 
0.9%
13.76988162 587
 
0.4%
11.19356231 320
 
0.2%
16.75745178 312
 
0.2%
19.08389386 230
 
0.2%
14.28833284 227
 
0.2%
21.00602927 218
 
0.1%
16.94997225 148
 
0.1%
19.15482007 134
 
0.1%
Other values (89271) 134840
89.9%
ValueCountFrequency (%)
0 11675
7.8%
9.456586673 1309
 
0.9%
9.697782369 15
 
< 0.1%
9.697782369 12
 
< 0.1%
9.966519419 20
 
< 0.1%
ValueCountFrequency (%)
134.0618221 1
< 0.1%
133.9377255 1
< 0.1%
118.9398601 1
< 0.1%
118.4545763 1
< 0.1%
117.3601455 1
< 0.1%

data_3g_dou_std_mnt1
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.027651901
Minimum0
Maximum3.616934243
Zeros60234
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:14.529771image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.207704776
Q31.687217756
95-th percentile2.486046368
Maximum3.616934243
Range3.616934243
Interquartile range (IQR)1.687217756

Descriptive statistics

Standard deviation0.9250259902
Coefficient of variation (CV)0.9001355312
Kurtosis-1.19709621
Mean1.027651901
Median Absolute Deviation (MAD)0.9992441848
Skewness0.1702092286
Sum154147.7852
Variance0.8556730825
MonotonicityNot monotonic
2024-06-11T19:36:14.598313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60234
40.2%
1.164401954 14590
 
9.7%
1.45108808 10171
 
6.8%
1.480453014 6502
 
4.3%
1.207704776 6228
 
4.2%
1.839588705 5866
 
3.9%
1.356301179 5004
 
3.3%
1.663597369 4223
 
2.8%
1.7768194 4130
 
2.8%
1.687217756 3785
 
2.5%
Other values (43) 29267
19.5%
ValueCountFrequency (%)
0 60234
40.2%
1.164401954 14590
 
9.7%
1.207704776 6228
 
4.2%
1.356301179 5004
 
3.3%
1.45108808 10171
 
6.8%
ValueCountFrequency (%)
3.616934243 44
 
< 0.1%
3.44414651 130
0.1%
3.301619787 143
0.1%
3.270189893 57
 
< 0.1%
3.262248815 133
0.1%

voice_mts_in_drest_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct130898
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9165894433
Minimum0
Maximum1.17253086
Zeros16258
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:14.669377image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.005558938
median1.015220451
Q31.035399566
95-th percentile1.081037654
Maximum1.17253086
Range1.17253086
Interquartile range (IQR)0.02984062829

Descriptive statistics

Standard deviation0.3206040932
Coefficient of variation (CV)0.3497793865
Kurtosis4.260296263
Mean0.9165894433
Median Absolute Deviation (MAD)0.01223761083
Skewness-2.48789399
Sum137488.4165
Variance0.1027869846
MonotonicityNot monotonic
2024-06-11T19:36:14.743044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16258
 
10.8%
1.064320397 2001
 
1.3%
1.10808554 387
 
0.3%
1.139222859 73
 
< 0.1%
1.008440556 14
 
< 0.1%
1.160290336 10
 
< 0.1%
1.01817803 8
 
< 0.1%
1.00485579 8
 
< 0.1%
1.030979552 7
 
< 0.1%
1.011320168 6
 
< 0.1%
Other values (130888) 131228
87.5%
ValueCountFrequency (%)
0 16258
10.8%
1.000000008 1
 
< 0.1%
1.000000011 1
 
< 0.1%
1.000000013 1
 
< 0.1%
1.000000016 1
 
< 0.1%
ValueCountFrequency (%)
1.17253086 1
< 0.1%
1.171665398 1
< 0.1%
1.170994117 1
< 0.1%
1.170551474 1
< 0.1%
1.170352179 1
< 0.1%

block_all_dur_max_mnt1
Real number (ℝ)

ZEROS 

Distinct328
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.1152633
Minimum0
Maximum178.2267327
Zeros135491
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:14.812633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178.2267327
Maximum178.2267327
Range178.2267327
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.38302739
Coefficient of variation (CV)3.060603069
Kurtosis5.516799331
Mean17.1152633
Median Absolute Deviation (MAD)0
Skewness2.739484962
Sum2567289.496
Variance2743.981558
MonotonicityNot monotonic
2024-06-11T19:36:14.886118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135491
90.3%
178.2267327 14182
 
9.5%
123.4514564 2
 
< 0.1%
163.2749731 1
 
< 0.1%
118.1350221 1
 
< 0.1%
142.7401547 1
 
< 0.1%
94.08293792 1
 
< 0.1%
111.904258 1
 
< 0.1%
114.9868415 1
 
< 0.1%
108.2169785 1
 
< 0.1%
Other values (318) 318
 
0.2%
ValueCountFrequency (%)
0 135491
90.3%
10.26911687 1
 
< 0.1%
12.33868121 1
 
< 0.1%
13.64049984 1
 
< 0.1%
17.05871926 1
 
< 0.1%
ValueCountFrequency (%)
178.2267327 14182
9.5%
178.1480436 1
 
< 0.1%
178.0855564 1
 
< 0.1%
176.5866522 1
 
< 0.1%
176.1570134 1
 
< 0.1%

voice_in_life_part_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct65497
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6691211779
Minimum0
Maximum1.480453014
Zeros51602
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:14.957976image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000164171
Q31.005418937
95-th percentile1.077105145
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.005418937

Descriptive statistics

Standard deviation0.486096099
Coefficient of variation (CV)0.7264694573
Kurtosis-1.558074061
Mean0.6691211779
Median Absolute Deviation (MAD)0.0156893525
Skewness-0.6342601067
Sum100368.1767
Variance0.2362894174
MonotonicityNot monotonic
2024-06-11T19:36:15.031448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51602
34.4%
1.006406835 1594
 
1.1%
1.001666435 958
 
0.6%
1.000750704 775
 
0.5%
1.000425155 690
 
0.5%
1.000190256 608
 
0.4%
1.000273218 604
 
0.4%
1.000140054 561
 
0.4%
1.000107387 517
 
0.3%
1.000084947 482
 
0.3%
Other values (65487) 91609
61.1%
ValueCountFrequency (%)
0 51602
34.4%
1.000000039 1
 
< 0.1%
1.000000078 1
 
< 0.1%
1.000000117 1
 
< 0.1%
1.000000154 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 7
< 0.1%
1.475299944 1
 
< 0.1%
1.474041615 2
 
< 0.1%
1.473822828 1
 
< 0.1%
1.473241131 1
 
< 0.1%

pay_sum_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct3885
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.515608509
Minimum-29.76860007
Maximum76.35254926
Zeros51227
Zeros (%)34.2%
Negative8
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:15.110641image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-29.76860007
5-th percentile0
Q10
median12.73672225
Q314.56161524
95-th percentile19.75525126
Maximum76.35254926
Range106.1211493
Interquartile range (IQR)14.56161524

Descriptive statistics

Standard deviation7.751010372
Coefficient of variation (CV)0.8145575099
Kurtosis-0.7677580975
Mean9.515608509
Median Absolute Deviation (MAD)5.196205229
Skewness0.04054254139
Sum1427341.276
Variance60.07816179
MonotonicityNot monotonic
2024-06-11T19:36:15.186483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51227
34.2%
11.61519305 8876
 
5.9%
14.32730559 8536
 
5.7%
12.79226812 7605
 
5.1%
13.33095137 5780
 
3.9%
16.45925281 5586
 
3.7%
13.0653276 4776
 
3.2%
18.55320686 4019
 
2.7%
13.84160798 3888
 
2.6%
15.65849494 2926
 
2.0%
Other values (3875) 46781
31.2%
ValueCountFrequency (%)
-29.76860007 1
< 0.1%
-27.76617962 1
< 0.1%
-25.6921398 1
< 0.1%
-21.71620379 1
< 0.1%
-16.36944146 1
< 0.1%
ValueCountFrequency (%)
76.35254926 1
< 0.1%
67.59872064 1
< 0.1%
58.19198674 1
< 0.1%
57.01619445 1
< 0.1%
56.77016268 1
< 0.1%

voice_out_short_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct36034
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.607510428
Minimum0
Maximum1.480453014
Zeros59167
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:15.258678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000154319
Q31.000992906
95-th percentile1.007082084
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)1.000992906

Descriptive statistics

Standard deviation0.4903950305
Coefficient of variation (CV)0.8072207618
Kurtosis-1.812513291
Mean0.607510428
Median Absolute Deviation (MAD)0.003141635654
Skewness-0.4308129243
Sum91126.5642
Variance0.2404872859
MonotonicityNot monotonic
2024-06-11T19:36:15.347668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59167
39.4%
1.001666435 1176
 
0.8%
1.000946895 1093
 
0.7%
1.000609725 1082
 
0.7%
1.003675345 1075
 
0.7%
1.00238048 1074
 
0.7%
1.000750704 1071
 
0.7%
1.001231401 1050
 
0.7%
1.000505029 1047
 
0.7%
1.000425155 1011
 
0.7%
Other values (36024) 81154
54.1%
ValueCountFrequency (%)
0 59167
39.4%
1.000000563 1
 
< 0.1%
1.00000153 1
 
< 0.1%
1.000002438 1
 
< 0.1%
1.0000025 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 2
< 0.1%
1.420513476 1
 
< 0.1%
1.395148847 3
< 0.1%
1.384003338 1
 
< 0.1%
1.381226422 1
 
< 0.1%

ama_volume_max_mnt1
Real number (ℝ)

ZEROS 

Distinct1166
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03105333337
Minimum0
Maximum1.000000101
Zeros145342
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:15.425892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.000000101
Range1.000000101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1734624584
Coefficient of variation (CV)5.585952927
Kurtosis27.23565848
Mean0.03105333337
Median Absolute Deviation (MAD)0
Skewness5.406967296
Sum4658.000005
Variance0.03008922448
MonotonicityNot monotonic
2024-06-11T19:36:15.502969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145342
96.9%
1 655
 
0.4%
1 469
 
0.3%
1 197
 
0.1%
1 192
 
0.1%
1 191
 
0.1%
1 176
 
0.1%
1 113
 
0.1%
1 94
 
0.1%
1 87
 
0.1%
Other values (1156) 2484
 
1.7%
ValueCountFrequency (%)
0 145342
96.9%
1 192
 
0.1%
1 5
 
< 0.1%
1 2
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1.000000101 1
< 0.1%
1.000000061 1
< 0.1%
1.000000057 1
< 0.1%
1.000000052 1
< 0.1%
1.000000045 1
< 0.1%

pay_max_td_mnt3
Real number (ℝ)

ZEROS 

Distinct15414
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2189552093
Minimum-27.14167584
Maximum28.67281474
Zeros28097
Zeros (%)18.7%
Negative56568
Negative (%)37.7%
Memory size1.1 MiB
2024-06-11T19:36:15.572035image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-27.14167584
5-th percentile-4.59773747
Q1-1.727229168
median0
Q32.19888091
95-th percentile4.948215992
Maximum28.67281474
Range55.81449058
Interquartile range (IQR)3.926110078

Descriptive statistics

Standard deviation3.150945307
Coefficient of variation (CV)14.39082138
Kurtosis2.970119305
Mean0.2189552093
Median Absolute Deviation (MAD)1.970600043
Skewness0.06178862914
Sum32843.2814
Variance9.928456331
MonotonicityNot monotonic
2024-06-11T19:36:15.640214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28097
 
18.7%
1.514559429 1280
 
0.9%
2.278539342 1171
 
0.8%
-1.514559429 1141
 
0.8%
3.023078865 1078
 
0.7%
-2.278539342 961
 
0.6%
-3.023078865 870
 
0.6%
2.022050194 854
 
0.6%
1.281129869 778
 
0.5%
-1.281129869 771
 
0.5%
Other values (15404) 112999
75.3%
ValueCountFrequency (%)
-27.14167584 1
< 0.1%
-22.33932067 1
< 0.1%
-21.34785349 1
< 0.1%
-21.26435914 1
< 0.1%
-21.15913691 1
< 0.1%
ValueCountFrequency (%)
28.67281474 1
< 0.1%
26.14192241 1
< 0.1%
25.27233462 1
< 0.1%
25.10636017 1
< 0.1%
24.82467 1
< 0.1%

voice_in_short_part_td_mnt3
Real number (ℝ)

ZEROS 

Distinct74387
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03532090583
Minimum-1.008554556
Maximum1.007721809
Zeros36866
Zeros (%)24.6%
Negative53918
Negative (%)35.9%
Memory size1.1 MiB
2024-06-11T19:36:15.710516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.008554556
5-th percentile-1.000025982
Q1-1.000000763
median0
Q31.000001259
95-th percentile1.000029754
Maximum1.007721809
Range2.016276365
Interquartile range (IQR)2.000002022

Descriptive statistics

Standard deviation0.8677735355
Coefficient of variation (CV)24.56826956
Kurtosis-1.66860949
Mean0.03532090583
Median Absolute Deviation (MAD)1.000000982
Skewness-0.06812182075
Sum5298.135874
Variance0.7530309089
MonotonicityNot monotonic
2024-06-11T19:36:15.787504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36866
 
24.6%
1.000012183 727
 
0.5%
1.000003051 603
 
0.4%
-1.000012183 596
 
0.4%
-1.000003051 474
 
0.3%
1.000001357 369
 
0.2%
-1.000001357 366
 
0.2%
1.000000763 341
 
0.2%
-1.000000763 317
 
0.2%
1.000027364 289
 
0.2%
Other values (74377) 109052
72.7%
ValueCountFrequency (%)
-1.008554556 1
< 0.1%
-1.006573533 1
< 0.1%
-1.005412059 1
< 0.1%
-1.004943904 1
< 0.1%
-1.004568853 1
< 0.1%
ValueCountFrequency (%)
1.007721809 1
< 0.1%
1.00757098 1
< 0.1%
1.006278264 1
< 0.1%
1.00598294 1
< 0.1%
1.005612906 1
< 0.1%

ama_volume_std_mnt3
Real number (ℝ)

ZEROS 

Distinct3176
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05762666667
Minimum0
Maximum1.000000009
Zeros141356
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:15.970590image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1.000000009
Range1.000000009
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2330368984
Coefficient of variation (CV)4.043907306
Kurtosis12.41468167
Mean0.05762666667
Median Absolute Deviation (MAD)0
Skewness3.79664538
Sum8644.000001
Variance0.05430619601
MonotonicityNot monotonic
2024-06-11T19:36:16.044942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141356
94.2%
1 884
 
0.6%
1 771
 
0.5%
1 360
 
0.2%
1 265
 
0.2%
1 260
 
0.2%
1 244
 
0.2%
1 156
 
0.1%
1 136
 
0.1%
1 128
 
0.1%
Other values (3166) 5440
 
3.6%
ValueCountFrequency (%)
0 141356
94.2%
1 260
 
0.2%
1 3
 
< 0.1%
1 1
 
< 0.1%
1 33
 
< 0.1%
ValueCountFrequency (%)
1.000000009 1
< 0.1%
1.000000006 1
< 0.1%
1.000000005 1
< 0.1%
1.000000005 1
< 0.1%
1.000000005 1
< 0.1%

conn_com_part_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct95660
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9137443806
Minimum0
Maximum1.480453014
Zeros22749
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.115041image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.000609725
median1.013420551
Q31.079880782
95-th percentile1.319809452
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.07927105738

Descriptive statistics

Standard deviation0.399736658
Coefficient of variation (CV)0.4374709891
Kurtosis1.316043999
Mean0.9137443806
Median Absolute Deviation (MAD)0.03043548393
Skewness-1.638652405
Sum137061.6571
Variance0.1597893957
MonotonicityNot monotonic
2024-06-11T19:36:16.186484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22749
 
15.2%
1.049793044 2483
 
1.7%
1.164401954 976
 
0.7%
1.480453014 790
 
0.5%
1.013872843 763
 
0.5%
1.006406835 586
 
0.4%
1.31316983 580
 
0.4%
1.003675345 429
 
0.3%
1.00238048 372
 
0.2%
1.001666435 361
 
0.2%
Other values (95650) 119911
79.9%
ValueCountFrequency (%)
0 22749
15.2%
1.000000206 1
 
< 0.1%
1.000000461 1
 
< 0.1%
1.000000513 1
 
< 0.1%
1.000000637 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 790
0.5%
1.479409292 1
 
< 0.1%
1.479390085 1
 
< 0.1%
1.47902122 1
 
< 0.1%
1.478803099 1
 
< 0.1%

voice_in_cmpttrs_avg_durstd_mnt3
Real number (ℝ)

ZEROS 

Distinct121275
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.24310034
Minimum0
Maximum53.25634333
Zeros19216
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.258616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.16576488
median18.56629217
Q326.17116598
95-th percentile35.58492171
Maximum53.25634333
Range53.25634333
Interquartile range (IQR)15.00540111

Descriptive statistics

Standard deviation10.75313919
Coefficient of variation (CV)0.5894359504
Kurtosis-0.7473307282
Mean18.24310034
Median Absolute Deviation (MAD)7.513823244
Skewness-0.09575059111
Sum2736465.052
Variance115.6300024
MonotonicityNot monotonic
2024-06-11T19:36:16.329336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19216
 
12.8%
3.800184121 123
 
0.1%
5.286665607 123
 
0.1%
4.326715255 122
 
0.1%
4.494900233 115
 
0.1%
4.82106116 115
 
0.1%
3.238219425 110
 
0.1%
5.4360379 106
 
0.1%
4.979292293 104
 
0.1%
2.639422411 101
 
0.1%
Other values (121265) 129765
86.5%
ValueCountFrequency (%)
0 19216
12.8%
1.064320397 60
 
< 0.1%
1.10808554 1
 
< 0.1%
1.129440938 2
 
< 0.1%
1.139222859 1
 
< 0.1%
ValueCountFrequency (%)
53.25634333 1
< 0.1%
51.21148986 1
< 0.1%
48.47869095 1
< 0.1%
48.22771713 1
< 0.1%
47.20334207 1
< 0.1%

voice_out_cmpttrs_avg_dumin_mnt3
Real number (ℝ)

ZEROS 

Distinct1532
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.693682912
Minimum0
Maximum48.45243053
Zeros122146
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.399391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.73715019
Maximum48.45243053
Range48.45243053
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.838845962
Coefficient of variation (CV)2.122230346
Kurtosis1.328513143
Mean3.693682912
Median Absolute Deviation (MAD)0
Skewness1.739325265
Sum554052.4367
Variance61.44750602
MonotonicityNot monotonic
2024-06-11T19:36:16.471432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122146
81.4%
17.89928393 13167
 
8.8%
20.31118337 823
 
0.5%
21.34785349 775
 
0.5%
19.75525126 663
 
0.4%
19.40804222 566
 
0.4%
23.99960696 499
 
0.3%
19.17043973 447
 
0.3%
20.73715019 342
 
0.2%
22.29933738 311
 
0.2%
Other values (1522) 10261
 
6.8%
ValueCountFrequency (%)
0 122146
81.4%
17.89928393 13167
 
8.8%
18.05080771 2
 
< 0.1%
18.05370106 1
 
< 0.1%
18.0630844 1
 
< 0.1%
ValueCountFrequency (%)
48.45243053 1
< 0.1%
46.89453263 1
< 0.1%
45.51992112 1
< 0.1%
42.87124622 1
< 0.1%
42.56775289 1
< 0.1%

sms_in_cnt_std_mnt3
Real number (ℝ)

ZEROS 

Distinct9305
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.265352838
Minimum0
Maximum35.34612132
Zeros16255
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.539782image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.23367744
median1.751101376
Q32.789928284
95-th percentile5.827795843
Maximum35.34612132
Range35.34612132
Interquartile range (IQR)1.556250843

Descriptive statistics

Standard deviation2.004815801
Coefficient of variation (CV)0.8849905266
Kurtosis21.8651468
Mean2.265352838
Median Absolute Deviation (MAD)0.6430158365
Skewness3.303002757
Sum339802.9257
Variance4.019286396
MonotonicityNot monotonic
2024-06-11T19:36:16.609696image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16255
 
10.8%
1.064320397 7501
 
5.0%
1.10808554 4128
 
2.8%
1.23367744 3127
 
2.1%
1.207704776 2866
 
1.9%
1.251588959 2605
 
1.7%
1.139222859 2125
 
1.4%
1.340902659 2063
 
1.4%
1.26210277 2052
 
1.4%
1.412203867 1793
 
1.2%
Other values (9295) 105485
70.3%
ValueCountFrequency (%)
0 16255
10.8%
1.064320397 7501
5.0%
1.069446038 77
 
0.1%
1.075498494 66
 
< 0.1%
1.082760975 85
 
0.1%
ValueCountFrequency (%)
35.34612132 1
< 0.1%
33.22349577 1
< 0.1%
32.72662262 1
< 0.1%
32.36549083 1
< 0.1%
31.55517912 1
< 0.1%

voice_out_tar_dur_mea_mnt1
Real number (ℝ)

ZEROS 

Distinct2927
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.55890309
Minimum0
Maximum146.8482915
Zeros20950
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.680100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139.14133654
median64.03590257
Q379.21208001
95-th percentile96.30752754
Maximum146.8482915
Range146.8482915
Interquartile range (IQR)40.07074347

Descriptive statistics

Standard deviation30.53972765
Coefficient of variation (CV)0.5399632238
Kurtosis-0.6307990267
Mean56.55890309
Median Absolute Deviation (MAD)18.09234396
Skewness-0.6163380594
Sum8483835.464
Variance932.674965
MonotonicityNot monotonic
2024-06-11T19:36:16.750530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20950
 
14.0%
8.687248223 1681
 
1.1%
12.79226812 1158
 
0.8%
15.65849494 880
 
0.6%
17.89928393 781
 
0.5%
19.75525126 722
 
0.5%
21.34785349 649
 
0.4%
23.99960696 602
 
0.4%
26.17309696 575
 
0.4%
22.74766418 561
 
0.4%
Other values (2917) 121441
81.0%
ValueCountFrequency (%)
0 20950
14.0%
8.687248223 1681
 
1.1%
12.79226812 1158
 
0.8%
15.65849494 880
 
0.6%
17.89928393 781
 
0.5%
ValueCountFrequency (%)
146.8482915 1
< 0.1%
145.9380007 1
< 0.1%
145.3640769 1
< 0.1%
142.5646081 1
< 0.1%
139.6884077 1
< 0.1%

conn_com_part_max_mnt3
Real number (ℝ)

ZEROS 

Distinct9886
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.08378353
Minimum0
Maximum1.480453014
Zeros12245
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.820144image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.014909069
median1.088358468
Q31.290517228
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0.2756081592

Descriptive statistics

Standard deviation0.3639756852
Coefficient of variation (CV)0.3358379928
Kurtosis3.680614346
Mean1.08378353
Median Absolute Deviation (MAD)0.08544197555
Skewness-1.8998742
Sum162567.5294
Variance0.1324782995
MonotonicityNot monotonic
2024-06-11T19:36:16.892272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 22823
 
15.2%
0 12245
 
8.2%
1.164401954 4011
 
2.7%
1.082760975 2408
 
1.6%
1.260942818 2118
 
1.4%
1.049793044 1858
 
1.2%
1.03324115 1550
 
1.0%
1.31316983 1261
 
0.8%
1.113213566 1163
 
0.8%
1.023762432 1139
 
0.8%
Other values (9876) 99424
66.3%
ValueCountFrequency (%)
0 12245
8.2%
1.000005906 1
 
< 0.1%
1.000014965 1
 
< 0.1%
1.000016458 1
 
< 0.1%
1.000017434 1
 
< 0.1%
ValueCountFrequency (%)
1.480453014 22823
15.2%
1.478698704 1
 
< 0.1%
1.478246319 1
 
< 0.1%
1.477554164 1
 
< 0.1%
1.477373881 1
 
< 0.1%

all_roam_clc_min_mnt1
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros150000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:16.948878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:16.996290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%
ValueCountFrequency (%)
0 150000
100.0%

sms_clc_mea_mnt3
Real number (ℝ)

ZEROS 

Distinct2424
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3968204547
Minimum0
Maximum51.31406352
Zeros100124
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:17.057630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.008746121
95-th percentile1.272750346
Maximum51.31406352
Range51.31406352
Interquartile range (IQR)1.008746121

Descriptive statistics

Standard deviation0.684987793
Coefficient of variation (CV)1.726190737
Kurtosis285.2550597
Mean0.3968204547
Median Absolute Deviation (MAD)0
Skewness7.409191779
Sum59523.06821
Variance0.4692082766
MonotonicityNot monotonic
2024-06-11T19:36:17.130245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100124
66.7%
1.008746121 11579
 
7.7%
1.008736187 6119
 
4.1%
1.032054747 4768
 
3.2%
1.032019827 2851
 
1.9%
1.066468818 2338
 
1.6%
1.03203978 1892
 
1.3%
1.066399103 1451
 
1.0%
1.109453347 1322
 
0.9%
1.109342464 929
 
0.6%
Other values (2414) 16627
 
11.1%
ValueCountFrequency (%)
0 100124
66.7%
1.000148847 1
 
< 0.1%
1.00016471 1
 
< 0.1%
1.000166829 1
 
< 0.1%
1.000168533 293
 
0.2%
ValueCountFrequency (%)
51.31406352 1
< 0.1%
26.95183535 1
< 0.1%
24.85341293 1
< 0.1%
21.91375138 1
< 0.1%
20.24182484 1
< 0.1%

com_num_part_std_mnt3
Real number (ℝ)

ZEROS 

Distinct109639
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9445049873
Minimum0
Maximum1.547253729
Zeros12297
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:17.198915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.004196705
median1.011644152
Q31.030166511
95-th percentile1.109490566
Maximum1.547253729
Range1.547253729
Interquartile range (IQR)0.02596980653

Descriptive statistics

Standard deviation0.2847888169
Coefficient of variation (CV)0.3015217715
Kurtosis6.9476836
Mean0.9445049873
Median Absolute Deviation (MAD)0.009295281093
Skewness-2.944161471
Sum141675.7481
Variance0.08110467024
MonotonicityNot monotonic
2024-06-11T19:36:17.271445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12297
 
8.2%
1.064320397 1656
 
1.1%
1.01817803 1101
 
0.7%
1.008440556 770
 
0.5%
1.10808554 697
 
0.5%
1.00485579 622
 
0.4%
1.003150561 476
 
0.3%
1.073240924 408
 
0.3%
1.002208149 386
 
0.3%
1.139222859 344
 
0.2%
Other values (109629) 131243
87.5%
ValueCountFrequency (%)
0 12297
8.2%
1.00000491 1
 
< 0.1%
1.000037799 1
 
< 0.1%
1.00004807 1
 
< 0.1%
1.000053735 1
 
< 0.1%
ValueCountFrequency (%)
1.547253729 1
< 0.1%
1.477823573 1
< 0.1%
1.468824646 1
< 0.1%
1.437404849 1
< 0.1%
1.433949507 1
< 0.1%

voice_out_cmpttrs_avg_dumin_mnt1
Real number (ℝ)

ZEROS 

Distinct2779
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.382743999
Minimum0
Maximum53.89787591
Zeros98250
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:17.448579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.89928393
95-th percentile25.49022445
Maximum53.89787591
Range53.89787591
Interquartile range (IQR)17.89928393

Descriptive statistics

Standard deviation10.47689238
Coefficient of variation (CV)1.419105469
Kurtosis-0.8262472114
Mean7.382743999
Median Absolute Deviation (MAD)0
Skewness0.8686241996
Sum1107411.6
Variance109.765274
MonotonicityNot monotonic
2024-06-11T19:36:17.519281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98250
65.5%
17.89928393 17657
 
11.8%
23.99960696 2004
 
1.3%
21.34785349 1949
 
1.3%
20.31118337 1633
 
1.1%
19.75525126 1186
 
0.8%
19.40804222 896
 
0.6%
22.29933738 878
 
0.6%
19.17043973 670
 
0.4%
20.73715019 652
 
0.4%
Other values (2769) 24225
 
16.2%
ValueCountFrequency (%)
0 98250
65.5%
17.89928393 17657
 
11.8%
18.01259238 1
 
< 0.1%
18.02491422 1
 
< 0.1%
18.03323823 1
 
< 0.1%
ValueCountFrequency (%)
53.89787591 1
< 0.1%
52.64066997 1
< 0.1%
52.1250518 1
< 0.1%
51.66999974 1
< 0.1%
51.2810021 2
< 0.1%

voice_mts_out_nrest_partmin_mnt3
Real number (ℝ)

ZEROS 

Distinct1697
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0249312229
Minimum0
Maximum1.029196237
Zeros146262
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:17.590668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.029196237
Range1.029196237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1559522324
Coefficient of variation (CV)6.255298144
Kurtosis35.15552066
Mean0.0249312229
Median Absolute Deviation (MAD)0
Skewness6.095487036
Sum3739.683435
Variance0.02432109878
MonotonicityNot monotonic
2024-06-11T19:36:17.665156image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146262
97.5%
1.00005696 15
 
< 0.1%
1.000143429 14
 
< 0.1%
1.000046594 13
 
< 0.1%
1.000054466 12
 
< 0.1%
1.00006664 12
 
< 0.1%
1.000093353 12
 
< 0.1%
1.000047893 12
 
< 0.1%
1.000095183 11
 
< 0.1%
1.000070028 11
 
< 0.1%
Other values (1687) 3626
 
2.4%
ValueCountFrequency (%)
0 146262
97.5%
1.000000227 1
 
< 0.1%
1.00000082 1
 
< 0.1%
1.000000865 1
 
< 0.1%
1.000000936 1
 
< 0.1%
ValueCountFrequency (%)
1.029196237 1
< 0.1%
1.023045066 1
< 0.1%
1.022711214 1
< 0.1%
1.018517539 1
< 0.1%
1.017830633 1
< 0.1%

all_cnt_max_mnt3
Real number (ℝ)

Distinct1986
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.33427619
Minimum0
Maximum110.6546142
Zeros308
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:17.737746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.01132535
Q120.52615232
median26.03947863
Q331.53063018
95-th percentile40.69990163
Maximum110.6546142
Range110.6546142
Interquartile range (IQR)11.00447787

Descriptive statistics

Standard deviation8.645199999
Coefficient of variation (CV)0.32828698
Kurtosis2.2127086
Mean26.33427619
Median Absolute Deviation (MAD)5.49115155
Skewness0.5489560672
Sum3950141.428
Variance74.73948301
MonotonicityNot monotonic
2024-06-11T19:36:17.810514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.84120984 689
 
0.5%
17.20345623 660
 
0.4%
18.42550908 660
 
0.4%
19.52497633 657
 
0.4%
20.6321375 650
 
0.4%
18.80424527 650
 
0.4%
20.20215743 649
 
0.4%
22.20759244 647
 
0.4%
17.48719744 641
 
0.4%
20.09207454 640
 
0.4%
Other values (1976) 143457
95.6%
ValueCountFrequency (%)
0 308
0.2%
1.480453014 78
 
0.1%
2.206948961 52
 
< 0.1%
2.921812056 62
 
< 0.1%
3.590290394 57
 
< 0.1%
ValueCountFrequency (%)
110.6546142 1
< 0.1%
109.9565411 1
< 0.1%
109.4270719 1
< 0.1%
107.4293007 1
< 0.1%
105.308958 1
< 0.1%

sms_clc_max_mnt1
Real number (ℝ)

ZEROS 

Distinct574
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4178237634
Minimum0
Maximum54.62828604
Zeros122045
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:17.878012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.463172916
Maximum54.62828604
Range54.62828604
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.129883201
Coefficient of variation (CV)2.704210005
Kurtosis127.4824084
Mean0.4178237634
Median Absolute Deviation (MAD)0
Skewness7.156691459
Sum62673.56451
Variance1.276636048
MonotonicityNot monotonic
2024-06-11T19:36:17.947924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122045
81.4%
1.604773951 10498
 
7.0%
1.604273725 6785
 
4.5%
2.46360592 2103
 
1.4%
2.463172916 1545
 
1.0%
2.462595556 1465
 
1.0%
3.281747174 668
 
0.4%
3.280346311 539
 
0.4%
4.0319091 362
 
0.2%
1.021216128 310
 
0.2%
Other values (564) 3680
 
2.5%
ValueCountFrequency (%)
0 122045
81.4%
1.005683008 1
 
< 0.1%
1.018881881 1
 
< 0.1%
1.021140637 1
 
< 0.1%
1.021216128 310
 
0.2%
ValueCountFrequency (%)
54.62828604 1
< 0.1%
35.77118338 1
< 0.1%
34.5158671 1
< 0.1%
31.18622339 1
< 0.1%
30.92538689 1
< 0.1%

bs_count_ppm_mn3
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing29454
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean2.833128635
Minimum1.480453014
Maximum5.324077125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:18.005425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q12.206948961
median2.921812056
Q32.921812056
95-th percentile4.210401996
Maximum5.324077125
Range3.843624111
Interquartile range (IQR)0.7148630949

Descriptive statistics

Standard deviation0.7256178641
Coefficient of variation (CV)0.2561189263
Kurtosis1.274614835
Mean2.833128635
Median Absolute Deviation (MAD)0
Skewness0.3088879124
Sum341522.3244
Variance0.5265212847
MonotonicityNot monotonic
2024-06-11T19:36:18.061210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.921812056 67129
44.8%
2.206948961 18754
 
12.5%
3.590290394 13989
 
9.3%
1.480453014 13131
 
8.8%
4.210401996 4123
 
2.7%
4.786566308 2302
 
1.5%
5.324077125 1118
 
0.7%
(Missing) 29454
19.6%
ValueCountFrequency (%)
1.480453014 13131
 
8.8%
2.206948961 18754
 
12.5%
2.921812056 67129
44.8%
3.590290394 13989
 
9.3%
4.210401996 4123
 
2.7%
ValueCountFrequency (%)
5.324077125 1118
 
0.7%
4.786566308 2302
 
1.5%
4.210401996 4123
 
2.7%
3.590290394 13989
 
9.3%
2.921812056 67129
44.8%

days_of_end_last_ppm
Real number (ℝ)

MISSING 

Distinct1257
Distinct (%)0.9%
Missing9804
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean-1.002953465
Minimum-13.01132535
Maximum51.84971813
Zeros1021
Zeros (%)0.7%
Negative104989
Negative (%)70.0%
Memory size1.1 MiB
2024-06-11T19:36:18.129408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-13.01132535
5-th percentile-12.56814363
Q1-10.55454345
median-7.174761058
Q30
95-th percentile33.90826172
Maximum51.84971813
Range64.86104348
Interquartile range (IQR)10.55454345

Descriptive statistics

Standard deviation14.84015865
Coefficient of variation (CV)-14.79645783
Kurtosis2.026887219
Mean-1.002953465
Median Absolute Deviation (MAD)3.92526509
Skewness1.725500528
Sum-140610.0639
Variance220.2303087
MonotonicityNot monotonic
2024-06-11T19:36:18.201861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.1035869 4203
 
2.8%
-6.30189811 4020
 
2.7%
-11.86254065 3890
 
2.6%
-12.56814363 3856
 
2.6%
-11.10002615 3818
 
2.5%
-10.83132398 3724
 
2.5%
-10.55454345 3650
 
2.4%
-8.333535892 3609
 
2.4%
-9.974411855 3603
 
2.4%
-11.61519305 3602
 
2.4%
Other values (1247) 102221
68.1%
(Missing) 9804
 
6.5%
ValueCountFrequency (%)
-13.01132535 3356
2.2%
-12.56814363 3856
2.6%
-12.33868121 3447
2.3%
-12.1035869 4203
2.8%
-11.86254065 3890
2.6%
ValueCountFrequency (%)
51.84971813 3
< 0.1%
51.83830476 3
< 0.1%
51.82688354 4
< 0.1%
51.81545445 3
< 0.1%
51.80401747 4
< 0.1%

days_of_last_ppm
Real number (ℝ)

MISSING  ZEROS 

Distinct1253
Distinct (%)0.9%
Missing9804
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean12.08358659
Minimum0
Maximum52.16614769
Zeros3926
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:18.273451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q16.30189811
median9.974411855
Q312.56814363
95-th percentile35.01085323
Maximum52.16614769
Range52.16614769
Interquartile range (IQR)6.266245519

Descriptive statistics

Standard deviation9.854265947
Coefficient of variation (CV)0.8155083653
Kurtosis3.320999314
Mean12.08358659
Median Absolute Deviation (MAD)3.666087984
Skewness1.811982847
Sum1694070.506
Variance97.10655736
MonotonicityNot monotonic
2024-06-11T19:36:18.345902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 4420
 
2.9%
10.55454345 4193
 
2.8%
2.921812056 4146
 
2.8%
0 3926
 
2.6%
5.324077125 3870
 
2.6%
3.590290394 3862
 
2.6%
5.827795843 3763
 
2.5%
8.687248223 3635
 
2.4%
7.174761058 3620
 
2.4%
6.30189811 3612
 
2.4%
Other values (1243) 101149
67.4%
(Missing) 9804
 
6.5%
ValueCountFrequency (%)
0 3926
2.6%
1.480453014 4420
2.9%
2.206948961 3392
2.3%
2.921812056 4146
2.8%
3.590290394 3862
2.6%
ValueCountFrequency (%)
52.16614769 3
< 0.1%
52.15494979 3
< 0.1%
52.14374434 5
< 0.1%
52.13253134 3
< 0.1%
52.12131076 4
< 0.1%

active_ppm
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing9804
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean0.7488730064
Minimum0
Maximum1
Zeros35207
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:18.401965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4336629661
Coefficient of variation (CV)0.5790874586
Kurtosis-0.68259263
Mean0.7488730064
Median Absolute Deviation (MAD)0
Skewness-1.147787919
Sum104989
Variance0.1880635681
MonotonicityNot monotonic
2024-06-11T19:36:18.451135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 104989
70.0%
0 35207
 
23.5%
(Missing) 9804
 
6.5%
ValueCountFrequency (%)
0 35207
 
23.5%
1 104989
70.0%
ValueCountFrequency (%)
1 104989
70.0%
0 35207
 
23.5%

Balance_uah
Real number (ℝ)

Distinct137988
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.411942596
Minimum-7.911405384
Maximum90.96821519
Zeros9
Zeros (%)< 0.1%
Negative10
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:18.511579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-7.911405384
5-th percentile1.001554336
Q11.484269715
median5.796343812
Q314.55675585
95-th percentile28.39246375
Maximum90.96821519
Range98.87962058
Interquartile range (IQR)13.07248614

Descriptive statistics

Standard deviation9.432092286
Coefficient of variation (CV)1.002140864
Kurtosis1.499933798
Mean9.411942596
Median Absolute Deviation (MAD)4.65709894
Skewness1.320195728
Sum1411791.389
Variance88.96436489
MonotonicityNot monotonic
2024-06-11T19:36:18.578748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 1620
 
1.1%
1.00000004 904
 
0.6%
1.00000001 424
 
0.3%
1.480453707 242
 
0.2%
1.4804544 224
 
0.1%
4.786566308 168
 
0.1%
1.113694579 151
 
0.1%
1.164456019 115
 
0.1%
1.480455093 96
 
0.1%
1.000001438 91
 
0.1%
Other values (137978) 145965
97.3%
ValueCountFrequency (%)
-7.911405384 1
< 0.1%
-5.172198442 1
< 0.1%
-5.134865502 1
< 0.1%
-5.043323429 1
< 0.1%
-4.838600594 1
< 0.1%
ValueCountFrequency (%)
90.96821519 1
< 0.1%
83.88321816 1
< 0.1%
80.41930004 1
< 0.1%
80.40070344 1
< 0.1%
76.55864038 1
< 0.1%

TM_ID
Real number (ℝ)

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3903.785427
Minimum3763
Maximum4127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:18.638907image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3763
5-th percentile3766
Q13771
median3911
Q34013
95-th percentile4033
Maximum4127
Range364
Interquartile range (IQR)242

Descriptive statistics

Standard deviation106.2219154
Coefficient of variation (CV)0.02720997796
Kurtosis-1.206630863
Mean3903.785427
Median Absolute Deviation (MAD)102
Skewness0.01691474071
Sum585567814
Variance11283.09531
MonotonicityNot monotonic
2024-06-11T19:36:18.702368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4013 22432
15.0%
3769 16722
11.1%
3919 13739
 
9.2%
3911 12961
 
8.6%
4014 10742
 
7.2%
3771 10548
 
7.0%
4015 8975
 
6.0%
3909 8014
 
5.3%
3768 5866
 
3.9%
3766 5141
 
3.4%
Other values (24) 34860
23.2%
ValueCountFrequency (%)
3763 3339
2.2%
3764 157
 
0.1%
3765 26
 
< 0.1%
3766 5141
3.4%
3768 5866
3.9%
ValueCountFrequency (%)
4127 74
 
< 0.1%
4122 1322
 
0.9%
4118 3384
2.3%
4097 509
 
0.3%
4096 720
 
0.5%

lt
Real number (ℝ)

Distinct7580
Distinct (%)5.1%
Missing673
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean5.403821514
Minimum3.259913891
Maximum6.689235229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:18.771245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.259913891
5-th percentile3.90604807
Q14.779030426
median5.686374837
Q36.026524994
95-th percentile6.1917054
Maximum6.689235229
Range3.429321338
Interquartile range (IQR)1.247494568

Descriptive statistics

Standard deviation0.758942065
Coefficient of variation (CV)0.1404454353
Kurtosis-0.3352969478
Mean5.403821514
Median Absolute Deviation (MAD)0.4144998656
Skewness-0.8911914134
Sum806936.4552
Variance0.5759930581
MonotonicityNot monotonic
2024-06-11T19:36:18.846074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.28738975 2443
 
1.6%
3.711512773 178
 
0.1%
4.077400172 176
 
0.1%
4.097446759 176
 
0.1%
6.164509626 170
 
0.1%
4.082478953 169
 
0.1%
4.3345614 167
 
0.1%
4.10234903 166
 
0.1%
4.072275329 164
 
0.1%
3.939497298 158
 
0.1%
Other values (7570) 145360
96.9%
(Missing) 673
 
0.4%
ValueCountFrequency (%)
3.259913891 148
0.1%
3.279852972 130
0.1%
3.299171576 115
0.1%
3.317905858 148
0.1%
3.336088943 112
0.1%
ValueCountFrequency (%)
6.689235229 14
< 0.1%
6.324970274 1
 
< 0.1%
6.324430956 1
 
< 0.1%
6.324053035 1
 
< 0.1%
6.32399902 1
 
< 0.1%

DNZ_MEAN_days_closed_loan_year2
Real number (ℝ)

MISSING 

Distinct2776
Distinct (%)19.5%
Missing135794
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean8.912677619
Minimum0
Maximum44.08419937
Zeros1193
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:18.917804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.921812056
median7.129241701
Q312.79226812
95-th percentile24.23511437
Maximum44.08419937
Range44.08419937
Interquartile range (IQR)9.870456065

Descriptive statistics

Standard deviation7.618997991
Coefficient of variation (CV)0.8548494983
Kurtosis1.400187537
Mean8.912677619
Median Absolute Deviation (MAD)4.733298946
Skewness1.214226167
Sum126613.4983
Variance58.04913039
MonotonicityNot monotonic
2024-06-11T19:36:19.093752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1193
 
0.8%
1.480453014 782
 
0.5%
2.206948961 575
 
0.4%
2.921812056 352
 
0.2%
3.590290394 304
 
0.2%
4.786566308 237
 
0.2%
4.210401996 233
 
0.2%
5.324077125 182
 
0.1%
6.30189811 163
 
0.1%
5.827795843 157
 
0.1%
Other values (2766) 10028
 
6.7%
(Missing) 135794
90.5%
ValueCountFrequency (%)
0 1193
0.8%
1.023762432 3
 
< 0.1%
1.028865683 1
 
< 0.1%
1.03324115 1
 
< 0.1%
1.036502103 1
 
< 0.1%
ValueCountFrequency (%)
44.08419937 1
< 0.1%
43.93535961 1
< 0.1%
43.51849989 1
< 0.1%
42.89126656 1
< 0.1%
42.21633488 1
< 0.1%

DNZ_MIN_days_closed_loan_year2
Real number (ℝ)

MISSING  ZEROS 

Distinct373
Distinct (%)2.6%
Missing135794
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean5.413377881
Minimum0
Maximum44.08419937
Zeros4150
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.161982image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q37.174761058
95-th percentile22.20759244
Maximum44.08419937
Range44.08419937
Interquartile range (IQR)7.174761058

Descriptive statistics

Standard deviation7.484430763
Coefficient of variation (CV)1.382580512
Kurtosis3.811305299
Mean5.413377881
Median Absolute Deviation (MAD)2.206948961
Skewness1.971693342
Sum76902.44618
Variance56.01670385
MonotonicityNot monotonic
2024-06-11T19:36:19.228867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4150
 
2.8%
1.480453014 2357
 
1.6%
2.206948961 1283
 
0.9%
2.921812056 754
 
0.5%
3.590290394 493
 
0.3%
4.210401996 357
 
0.2%
4.786566308 320
 
0.2%
5.324077125 267
 
0.2%
5.827795843 199
 
0.1%
6.30189811 173
 
0.1%
Other values (363) 3853
 
2.6%
(Missing) 135794
90.5%
ValueCountFrequency (%)
0 4150
2.8%
1.480453014 2357
1.6%
2.206948961 1283
 
0.9%
2.921812056 754
 
0.5%
3.590290394 493
 
0.3%
ValueCountFrequency (%)
44.08419937 1
< 0.1%
43.93535961 1
< 0.1%
43.51849989 1
< 0.1%
42.89126656 1
< 0.1%
42.21633488 1
< 0.1%

DNZ_DAYS_from_last_year2
Real number (ℝ)

MISSING 

Distinct730
Distinct (%)4.9%
Missing135112
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean35.42555792
Minimum1.480453014
Maximum44.48628888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.295722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile15.14662631
Q129.38626447
median39.49653703
Q343.42216648
95-th percentile44.3958152
Maximum44.48628888
Range43.00583586
Interquartile range (IQR)14.03590201

Descriptive statistics

Standard deviation9.868409608
Coefficient of variation (CV)0.2785675141
Kurtosis0.649336195
Mean35.42555792
Median Absolute Deviation (MAD)4.606167098
Skewness-1.186380511
Sum527415.7064
Variance97.38550818
MonotonicityNot monotonic
2024-06-11T19:36:19.363623image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.48628888 142
 
0.1%
44.46823623 132
 
0.1%
44.41395213 130
 
0.1%
44.45016259 127
 
0.1%
44.43206791 118
 
0.1%
44.3958152 116
 
0.1%
44.34127699 101
 
0.1%
44.35947768 100
 
0.1%
44.37765707 99
 
0.1%
44.15808613 96
 
0.1%
Other values (720) 13727
 
9.2%
(Missing) 135112
90.1%
ValueCountFrequency (%)
1.480453014 30
< 0.1%
2.206948961 17
< 0.1%
2.921812056 14
< 0.1%
3.590290394 19
< 0.1%
4.210401996 25
< 0.1%
ValueCountFrequency (%)
44.48628888 142
0.1%
44.46823623 132
0.1%
44.45016259 127
0.1%
44.43206791 118
0.1%
44.41395213 130
0.1%

DNZ_MAX_days_closed_loan_year2
Real number (ℝ)

MISSING 

Distinct460
Distinct (%)3.2%
Missing135794
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean12.112429
Minimum0
Maximum44.08419937
Zeros1193
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.444951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.210401996
median11.10002615
Q318.2963085
95-th percentile29.38626447
Maximum44.08419937
Range44.08419937
Interquartile range (IQR)14.08590651

Descriptive statistics

Standard deviation9.220877535
Coefficient of variation (CV)0.7612740212
Kurtosis-0.2932574307
Mean12.112429
Median Absolute Deviation (MAD)7.065539212
Skewness0.6230634074
Sum172069.1664
Variance85.02458251
MonotonicityNot monotonic
2024-06-11T19:36:19.510924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1193
 
0.8%
1.480453014 844
 
0.6%
2.206948961 664
 
0.4%
2.921812056 455
 
0.3%
3.590290394 368
 
0.2%
4.786566308 309
 
0.2%
4.210401996 304
 
0.2%
5.324077125 256
 
0.2%
5.827795843 240
 
0.2%
6.30189811 227
 
0.2%
Other values (450) 9346
 
6.2%
(Missing) 135794
90.5%
ValueCountFrequency (%)
0 1193
0.8%
1.480453014 844
0.6%
2.206948961 664
0.4%
2.921812056 455
 
0.3%
3.590290394 368
 
0.2%
ValueCountFrequency (%)
44.08419937 1
< 0.1%
43.93535961 1
< 0.1%
43.51849989 1
< 0.1%
42.97108718 1
< 0.1%
42.89126656 1
< 0.1%

DNZ_STD_days_closed_loan_year5
Real number (ℝ)

MISSING 

Distinct6387
Distinct (%)66.7%
Missing140423
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean10.02255934
Minimum0
Maximum41.93406313
Zeros225
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.580206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.286011037
Q14.52708334
median8.535155554
Q314.12564013
95-th percentile24.15297935
Maximum41.93406313
Range41.93406313
Interquartile range (IQR)9.598556787

Descriptive statistics

Standard deviation7.12493703
Coefficient of variation (CV)0.7108899823
Kurtosis0.5150344651
Mean10.02255934
Median Absolute Deviation (MAD)4.668274618
Skewness0.9245580434
Sum95986.05077
Variance50.76472768
MonotonicityNot monotonic
2024-06-11T19:36:19.653780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.286011037 227
 
0.2%
0 225
 
0.1%
1.7768194 133
 
0.1%
2.295626948 112
 
0.1%
2.802182867 111
 
0.1%
1.207704776 67
 
< 0.1%
3.285971051 58
 
< 0.1%
4.180332858 58
 
< 0.1%
5.36093755 54
 
< 0.1%
3.745070139 52
 
< 0.1%
Other values (6377) 8480
 
5.7%
(Missing) 140423
93.6%
ValueCountFrequency (%)
0 225
0.1%
1.117201184 1
 
< 0.1%
1.117201184 1
 
< 0.1%
1.132220283 1
 
< 0.1%
1.136633766 2
 
< 0.1%
ValueCountFrequency (%)
41.93406313 1
< 0.1%
41.06601145 1
< 0.1%
40.14474538 1
< 0.1%
39.83612515 1
< 0.1%
38.36160148 1
< 0.1%

DNZ_MIN_days_closed_loan_year5
Real number (ℝ)

MISSING  ZEROS 

Distinct535
Distinct (%)3.2%
Missing133198
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean5.99112848
Minimum0
Maximum54.00855165
Zeros4915
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.726111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q37.964623589
95-th percentile25.13417803
Maximum54.00855165
Range54.00855165
Interquartile range (IQR)7.964623589

Descriptive statistics

Standard deviation8.572680266
Coefficient of variation (CV)1.430895748
Kurtosis4.575549429
Mean5.99112848
Median Absolute Deviation (MAD)2.206948961
Skewness2.104957861
Sum100662.9407
Variance73.49084695
MonotonicityNot monotonic
2024-06-11T19:36:19.798690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4915
 
3.3%
1.480453014 2669
 
1.8%
2.206948961 1443
 
1.0%
2.921812056 863
 
0.6%
3.590290394 593
 
0.4%
4.210401996 435
 
0.3%
4.786566308 365
 
0.2%
5.324077125 293
 
0.2%
5.827795843 240
 
0.2%
6.30189811 191
 
0.1%
Other values (525) 4795
 
3.2%
(Missing) 133198
88.8%
ValueCountFrequency (%)
0 4915
3.3%
1.480453014 2669
1.8%
2.206948961 1443
 
1.0%
2.921812056 863
 
0.6%
3.590290394 593
 
0.4%
ValueCountFrequency (%)
54.00855165 1
< 0.1%
53.05968795 1
< 0.1%
52.08760354 1
< 0.1%
51.52713475 1
< 0.1%
51.36345432 1
< 0.1%

DNZ_COUNT_open_loan_year2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing135112
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean0.2128996442
Minimum0
Maximum1.480453014
Zeros12747
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.849449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5194995561
Coefficient of variation (CV)2.440114722
Kurtosis2.122836865
Mean0.2128996442
Median Absolute Deviation (MAD)0
Skewness2.030406784
Sum3169.649903
Variance0.2698797888
MonotonicityNot monotonic
2024-06-11T19:36:19.897718image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 12747
 
8.5%
1.480453014 2141
 
1.4%
(Missing) 135112
90.1%
ValueCountFrequency (%)
0 12747
8.5%
1.480453014 2141
 
1.4%
ValueCountFrequency (%)
1.480453014 2141
 
1.4%
0 12747
8.5%

DNZ_MEAN_days_closed_loan_year5
Real number (ℝ)

MISSING 

Distinct3691
Distinct (%)22.0%
Missing133198
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean9.892336803
Minimum0
Maximum54.00855165
Zeros1329
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:19.959860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.262248815
median7.735346994
Q313.93085747
95-th percentile27.37642559
Maximum54.00855165
Range54.00855165
Interquartile range (IQR)10.66860866

Descriptive statistics

Standard deviation8.660968454
Coefficient of variation (CV)0.875523006
Kurtosis1.97652152
Mean9.892336803
Median Absolute Deviation (MAD)5.056921127
Skewness1.34407529
Sum166211.043
Variance75.01237456
MonotonicityNot monotonic
2024-06-11T19:36:20.028634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1329
 
0.9%
1.480453014 829
 
0.6%
2.206948961 645
 
0.4%
2.921812056 389
 
0.3%
3.590290394 361
 
0.2%
4.786566308 268
 
0.2%
4.210401996 259
 
0.2%
5.324077125 188
 
0.1%
5.827795843 188
 
0.1%
6.30189811 177
 
0.1%
Other values (3681) 12169
 
8.1%
(Missing) 133198
88.8%
ValueCountFrequency (%)
0 1329
0.9%
1.023762432 3
 
< 0.1%
1.03324115 1
 
< 0.1%
1.043114106 1
 
< 0.1%
1.049793044 4
 
< 0.1%
ValueCountFrequency (%)
54.00855165 1
< 0.1%
53.05968795 1
< 0.1%
52.08760354 1
< 0.1%
51.52713475 1
< 0.1%
51.36345432 1
< 0.1%

DNZ_DAYS_from_last_year5
Real number (ℝ)

MISSING 

Distinct1261
Distinct (%)7.2%
Missing132564
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean38.87484423
Minimum1.480453014
Maximum56.49502053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.092818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile17.20345623
Q132.04890056
median43.80393935
Q347.09013733
95-th percentile48.29720126
Maximum56.49502053
Range55.01456752
Interquartile range (IQR)15.04123677

Descriptive statistics

Standard deviation10.71286679
Coefficient of variation (CV)0.2755732403
Kurtosis0.7188010449
Mean38.87484423
Median Absolute Deviation (MAD)3.930501552
Skewness-1.235146848
Sum677821.784
Variance114.7655148
MonotonicityNot monotonic
2024-06-11T19:36:20.157115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.71974833 108
 
0.1%
47.73444091 100
 
0.1%
47.69032266 90
 
0.1%
47.74912002 88
 
0.1%
47.76378569 83
 
0.1%
47.67558952 83
 
0.1%
23.75943179 79
 
0.1%
47.70504225 75
 
0.1%
47.3479782 71
 
< 0.1%
47.66084281 70
 
< 0.1%
Other values (1251) 16589
 
11.1%
(Missing) 132564
88.4%
ValueCountFrequency (%)
1.480453014 29
< 0.1%
2.206948961 17
< 0.1%
2.921812056 13
< 0.1%
3.590290394 18
< 0.1%
4.210401996 23
< 0.1%
ValueCountFrequency (%)
56.49502053 1
< 0.1%
56.4863511 1
< 0.1%
56.44293831 1
< 0.1%
56.05610207 1
< 0.1%
55.73297991 1
< 0.1%

DNZ_MEAN_days_open_loan_year5
Real number (ℝ)

MISSING 

Distinct409
Distinct (%)18.9%
Missing147835
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean15.90217486
Minimum1.480453014
Maximum55.73297991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.223530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q16.30189811
median13.22556513
Q324.38962268
95-th percentile37.70162628
Maximum55.73297991
Range54.2525269
Interquartile range (IQR)18.08772457

Descriptive statistics

Standard deviation11.21933257
Coefficient of variation (CV)0.7055218967
Kurtosis-0.3018876803
Mean15.90217486
Median Absolute Deviation (MAD)8.12228836
Skewness0.6829847114
Sum34428.20858
Variance125.8734234
MonotonicityNot monotonic
2024-06-11T19:36:20.289994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 123
 
0.1%
2.206948961 81
 
0.1%
3.590290394 58
 
< 0.1%
4.210401996 57
 
< 0.1%
2.921812056 54
 
< 0.1%
5.827795843 51
 
< 0.1%
5.324077125 48
 
< 0.1%
7.174761058 44
 
< 0.1%
4.786566308 44
 
< 0.1%
9.974411855 37
 
< 0.1%
Other values (399) 1568
 
1.0%
(Missing) 147835
98.6%
ValueCountFrequency (%)
1.480453014 123
0.1%
2.206948961 81
0.1%
2.921812056 54
< 0.1%
3.590290394 58
< 0.1%
4.210401996 57
< 0.1%
ValueCountFrequency (%)
55.73297991 1
< 0.1%
55.51412519 1
< 0.1%
53.64360474 1
< 0.1%
53.20758251 1
< 0.1%
49.57798198 1
< 0.1%

DNZ_COUNT_closed_loan_year5
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)0.8%
Missing132564
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean3.560282576
Minimum0
Maximum43.99134241
Zeros634
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.354307image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q11.480453014
median2.206948961
Q34.210401996
95-th percentile10.83132398
Maximum43.99134241
Range43.99134241
Interquartile range (IQR)2.729948982

Descriptive statistics

Standard deviation3.484828615
Coefficient of variation (CV)0.9788067493
Kurtosis8.450184923
Mean3.560282576
Median Absolute Deviation (MAD)0.7264959469
Skewness2.472615029
Sum62077.087
Variance12.14403048
MonotonicityNot monotonic
2024-06-11T19:36:20.420693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 7225
 
4.8%
2.206948961 2392
 
1.6%
2.921812056 1394
 
0.9%
3.590290394 914
 
0.6%
4.210401996 649
 
0.4%
0 634
 
0.4%
4.786566308 509
 
0.3%
5.324077125 423
 
0.3%
5.827795843 375
 
0.2%
6.30189811 318
 
0.2%
Other values (121) 2603
 
1.7%
(Missing) 132564
88.4%
ValueCountFrequency (%)
0 634
 
0.4%
1.480453014 7225
4.8%
2.206948961 2392
 
1.6%
2.921812056 1394
 
0.9%
3.590290394 914
 
0.6%
ValueCountFrequency (%)
43.99134241 1
< 0.1%
31.96388736 1
< 0.1%
30.52533481 1
< 0.1%
29.79369859 1
< 0.1%
29.69301652 1
< 0.1%

DNZ_COUNT_closed_loan_year2
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)0.8%
Missing135112
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean3.341514615
Minimum0
Maximum39.81889907
Zeros682
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.486003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.480453014
Q11.480453014
median2.206948961
Q34.210401996
95-th percentile9.974411855
Maximum39.81889907
Range39.81889907
Interquartile range (IQR)2.729948982

Descriptive statistics

Standard deviation3.226772549
Coefficient of variation (CV)0.9656616597
Kurtosis9.303725233
Mean3.341514615
Median Absolute Deviation (MAD)0.7264959469
Skewness2.562378571
Sum49748.46959
Variance10.41206108
MonotonicityNot monotonic
2024-06-11T19:36:20.664669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 6283
 
4.2%
2.206948961 2037
 
1.4%
2.921812056 1176
 
0.8%
3.590290394 817
 
0.5%
0 682
 
0.5%
4.210401996 565
 
0.4%
4.786566308 451
 
0.3%
5.324077125 378
 
0.3%
5.827795843 316
 
0.2%
6.30189811 253
 
0.2%
Other values (104) 1930
 
1.3%
(Missing) 135112
90.1%
ValueCountFrequency (%)
0 682
 
0.5%
1.480453014 6283
4.2%
2.206948961 2037
 
1.4%
2.921812056 1176
 
0.8%
3.590290394 817
 
0.5%
ValueCountFrequency (%)
39.81889907 1
< 0.1%
31.57458603 1
< 0.1%
27.96680086 1
< 0.1%
27.85088076 1
< 0.1%
27.31586083 1
< 0.1%

DNZ_MAX_days_closed_loan_year5
Real number (ℝ)

MISSING 

Distinct644
Distinct (%)3.8%
Missing133198
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean13.47771132
Minimum0
Maximum54.00855165
Zeros1329
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.738576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.210401996
median12.33868121
Q320.31118337
95-th percentile32.87107067
Maximum54.00855165
Range54.00855165
Interquartile range (IQR)16.10078138

Descriptive statistics

Standard deviation10.33077491
Coefficient of variation (CV)0.7665081008
Kurtosis-0.1801960857
Mean13.47771132
Median Absolute Deviation (MAD)8.080493318
Skewness0.665000857
Sum226452.5056
Variance106.7249102
MonotonicityNot monotonic
2024-06-11T19:36:20.820173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1329
 
0.9%
1.480453014 897
 
0.6%
2.206948961 743
 
0.5%
2.921812056 501
 
0.3%
3.590290394 417
 
0.3%
4.210401996 348
 
0.2%
4.786566308 346
 
0.2%
5.827795843 271
 
0.2%
5.324077125 270
 
0.2%
6.30189811 248
 
0.2%
Other values (634) 11432
 
7.6%
(Missing) 133198
88.8%
ValueCountFrequency (%)
0 1329
0.9%
1.480453014 897
0.6%
2.206948961 743
0.5%
2.921812056 501
 
0.3%
3.590290394 417
 
0.3%
ValueCountFrequency (%)
54.00855165 1
< 0.1%
53.05968795 1
< 0.1%
52.08760354 1
< 0.1%
51.52713475 1
< 0.1%
51.36345432 1
< 0.1%

DNZ_COUNT_open_loan_year5
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing132564
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean0.1838254631
Minimum0
Maximum1.480453014
Zeros15271
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.884010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum1.480453014
Range1.480453014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4882282571
Coefficient of variation (CV)2.655933779
Kurtosis3.196612355
Mean0.1838254631
Median Absolute Deviation (MAD)0
Skewness2.279527517
Sum3205.180775
Variance0.238366831
MonotonicityNot monotonic
2024-06-11T19:36:20.932620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 15271
 
10.2%
1.480453014 2165
 
1.4%
(Missing) 132564
88.4%
ValueCountFrequency (%)
0 15271
10.2%
1.480453014 2165
 
1.4%
ValueCountFrequency (%)
1.480453014 2165
 
1.4%
0 15271
10.2%

DNZ_MEAN_days_open_loan_year2
Real number (ℝ)

MISSING 

Distinct387
Distinct (%)18.1%
Missing147859
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean15.5469288
Minimum1.480453014
Maximum43.78507345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:20.993617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q16.30189811
median13.01132535
Q323.84002136
95-th percentile36.25433619
Maximum43.78507345
Range42.30462044
Interquartile range (IQR)17.53812325

Descriptive statistics

Standard deviation10.75968753
Coefficient of variation (CV)0.6920780093
Kurtosis-0.6116372396
Mean15.5469288
Median Absolute Deviation (MAD)8.22475904
Skewness0.5853468144
Sum33285.97456
Variance115.7708758
MonotonicityNot monotonic
2024-06-11T19:36:21.057324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 123
 
0.1%
2.206948961 81
 
0.1%
3.590290394 58
 
< 0.1%
4.210401996 57
 
< 0.1%
2.921812056 54
 
< 0.1%
5.827795843 51
 
< 0.1%
5.324077125 48
 
< 0.1%
4.786566308 44
 
< 0.1%
7.174761058 44
 
< 0.1%
9.974411855 37
 
< 0.1%
Other values (377) 1544
 
1.0%
(Missing) 147859
98.6%
ValueCountFrequency (%)
1.480453014 123
0.1%
2.206948961 81
0.1%
2.921812056 54
< 0.1%
3.590290394 58
< 0.1%
4.210401996 57
< 0.1%
ValueCountFrequency (%)
43.78507345 1
< 0.1%
43.59513515 1
< 0.1%
43.44148144 1
< 0.1%
43.32522624 1
< 0.1%
43.20808527 1
< 0.1%

myvf_day_usage
Real number (ℝ)

MISSING 

Distinct1946
Distinct (%)2.3%
Missing67188
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean41.67759752
Minimum0
Maximum58.38948281
Zeros37
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.118978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.16556536
Q132.71054613
median45.36326133
Q351.7925726
95-th percentile56.8212664
Maximum58.38948281
Range58.38948281
Interquartile range (IQR)19.08202647

Descriptive statistics

Standard deviation12.33908872
Coefficient of variation (CV)0.2960604607
Kurtosis-0.2322548783
Mean41.67759752
Median Absolute Deviation (MAD)7.980493826
Skewness-0.7863171422
Sum3451405.205
Variance152.2531104
MonotonicityNot monotonic
2024-06-11T19:36:21.186547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.67432073 390
 
0.3%
53.66408829 268
 
0.2%
29.12504295 228
 
0.2%
30.80707399 198
 
0.1%
53.58200407 148
 
0.1%
53.54081129 127
 
0.1%
53.520177 122
 
0.1%
52.64066997 116
 
0.1%
23.84002136 115
 
0.1%
34.01885111 114
 
0.1%
Other values (1936) 80986
54.0%
(Missing) 67188
44.8%
ValueCountFrequency (%)
0 37
< 0.1%
1.480453014 45
< 0.1%
2.206948961 54
< 0.1%
2.921812056 51
< 0.1%
3.590290394 42
< 0.1%
ValueCountFrequency (%)
58.38948281 1
 
< 0.1%
58.38171125 46
< 0.1%
58.37393623 29
< 0.1%
58.36615774 22
< 0.1%
58.35837579 27
< 0.1%

Fax
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)1.9%
Missing149845
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.129032258
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.243567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3551052052
Coefficient of variation (CV)0.3145217532
Kurtosis6.557452311
Mean1.129032258
Median Absolute Deviation (MAD)0
Skewness2.666375598
Sum175
Variance0.1260997067
MonotonicityNot monotonic
2024-06-11T19:36:21.301638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 136
 
0.1%
2 18
 
< 0.1%
3 1
 
< 0.1%
(Missing) 149845
99.9%
ValueCountFrequency (%)
1 136
0.1%
2 18
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 18
 
< 0.1%
1 136
0.1%

tsoa_call_cnt
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)0.2%
Missing125594
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean2.284383041
Minimum1.480453014
Maximum25.76787874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.367467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q32.206948961
95-th percentile4.786566308
Maximum25.76787874
Range24.28742573
Interquartile range (IQR)0.7264959469

Descriptive statistics

Standard deviation1.398378882
Coefficient of variation (CV)0.6121472875
Kurtosis25.47871003
Mean2.284383041
Median Absolute Deviation (MAD)0
Skewness3.683900386
Sum55752.6525
Variance1.955463498
MonotonicityNot monotonic
2024-06-11T19:36:21.435660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 13269
 
8.8%
2.206948961 5079
 
3.4%
2.921812056 2453
 
1.6%
3.590290394 1287
 
0.9%
4.210401996 737
 
0.5%
4.786566308 475
 
0.3%
5.324077125 296
 
0.2%
5.827795843 191
 
0.1%
6.30189811 150
 
0.1%
6.749901739 96
 
0.1%
Other values (41) 373
 
0.2%
(Missing) 125594
83.7%
ValueCountFrequency (%)
1.480453014 13269
8.8%
2.206948961 5079
 
3.4%
2.921812056 2453
 
1.6%
3.590290394 1287
 
0.9%
4.210401996 737
 
0.5%
ValueCountFrequency (%)
25.76787874 1
< 0.1%
24.9155146 1
< 0.1%
23.99960696 1
< 0.1%
23.75943179 1
< 0.1%
20.31118337 1
< 0.1%

tsoa_direct_cnt
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)0.1%
Missing140268
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean1.920471335
Minimum1.480453014
Maximum19.40804222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.491387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q32.206948961
95-th percentile3.590290394
Maximum19.40804222
Range17.9275892
Interquartile range (IQR)0.7264959469

Descriptive statistics

Standard deviation0.7937420891
Coefficient of variation (CV)0.4133058769
Kurtosis31.53044035
Mean1.920471335
Median Absolute Deviation (MAD)0
Skewness3.341866173
Sum18690.02703
Variance0.630026504
MonotonicityNot monotonic
2024-06-11T19:36:21.544503image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.480453014 6406
 
4.3%
2.206948961 1849
 
1.2%
2.921812056 816
 
0.5%
3.590290394 356
 
0.2%
4.210401996 150
 
0.1%
4.786566308 85
 
0.1%
5.324077125 38
 
< 0.1%
5.827795843 10
 
< 0.1%
6.30189811 9
 
< 0.1%
6.749901739 7
 
< 0.1%
Other values (4) 6
 
< 0.1%
(Missing) 140268
93.5%
ValueCountFrequency (%)
1.480453014 6406
4.3%
2.206948961 1849
 
1.2%
2.921812056 816
 
0.5%
3.590290394 356
 
0.2%
4.210401996 150
 
0.1%
ValueCountFrequency (%)
19.40804222 1
 
< 0.1%
11.36116158 1
 
< 0.1%
7.578965206 2
 
< 0.1%
7.174761058 2
 
< 0.1%
6.749901739 7
< 0.1%

tsoa_mail_cnt
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)13.0%
Missing149977
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.7010547
Minimum1.480453014
Maximum2.921812056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.592965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q31.843700987
95-th percentile2.206948961
Maximum2.921812056
Range1.441359042
Interquartile range (IQR)0.3632479734

Descriptive statistics

Standard deviation0.4043625906
Coefficient of variation (CV)0.2377128676
Kurtosis2.327121796
Mean1.7010547
Median Absolute Deviation (MAD)0
Skewness1.719833782
Sum39.1242581
Variance0.1635091047
MonotonicityNot monotonic
2024-06-11T19:36:21.640670image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1.480453014 17
 
< 0.1%
2.206948961 5
 
< 0.1%
2.921812056 1
 
< 0.1%
(Missing) 149977
> 99.9%
ValueCountFrequency (%)
1.480453014 17
< 0.1%
2.206948961 5
 
< 0.1%
2.921812056 1
 
< 0.1%
ValueCountFrequency (%)
2.921812056 1
 
< 0.1%
2.206948961 5
 
< 0.1%
1.480453014 17
< 0.1%

SMS
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)1.3%
Missing149246
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.435013263
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.692074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008144555
Coefficient of variation (CV)0.7025332669
Kurtosis40.39598534
Mean1.435013263
Median Absolute Deviation (MAD)0
Skewness5.051529097
Sum1082
Variance1.016355445
MonotonicityNot monotonic
2024-06-11T19:36:21.744692image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 548
 
0.4%
2 144
 
0.1%
3 36
 
< 0.1%
4 16
 
< 0.1%
6 4
 
< 0.1%
5 2
 
< 0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 149246
99.5%
ValueCountFrequency (%)
1 548
0.4%
2 144
 
0.1%
3 36
 
< 0.1%
4 16
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
6 4
< 0.1%

tsoa_chat_cnt
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.6%
Missing145709
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.191141356
Minimum1.480453014
Maximum15.65849494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.797958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q32.206948961
95-th percentile4.786566308
Maximum15.65849494
Range14.17804193
Interquartile range (IQR)0.7264959469

Descriptive statistics

Standard deviation1.219907132
Coefficient of variation (CV)0.5567450627
Kurtosis14.89656866
Mean2.191141356
Median Absolute Deviation (MAD)0
Skewness3.074675488
Sum9402.187558
Variance1.48817341
MonotonicityNot monotonic
2024-06-11T19:36:21.855753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.480453014 2432
 
1.6%
2.206948961 891
 
0.6%
2.921812056 414
 
0.3%
3.590290394 215
 
0.1%
4.210401996 100
 
0.1%
4.786566308 73
 
< 0.1%
5.324077125 61
 
< 0.1%
5.827795843 35
 
< 0.1%
6.30189811 17
 
< 0.1%
6.749901739 13
 
< 0.1%
Other values (16) 40
 
< 0.1%
(Missing) 145709
97.1%
ValueCountFrequency (%)
1.480453014 2432
1.6%
2.206948961 891
 
0.6%
2.921812056 414
 
0.3%
3.590290394 215
 
0.1%
4.210401996 100
 
0.1%
ValueCountFrequency (%)
15.65849494 1
< 0.1%
13.43521855 1
< 0.1%
13.01132535 1
< 0.1%
12.1035869 1
< 0.1%
11.36116158 1
< 0.1%

CALCULATION_METHOD_ID
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:21.909812image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum150000
Variance0
MonotonicityIncreasing
2024-06-11T19:36:21.956869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 150000
100.0%
ValueCountFrequency (%)
1 150000
100.0%
ValueCountFrequency (%)
1 150000
100.0%

loc_is_obl_center
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing880
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean0.3573363734
Minimum0
Maximum1
Zeros95834
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.007541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4792166834
Coefficient of variation (CV)1.341080055
Kurtosis-1.645507325
Mean0.3573363734
Median Absolute Deviation (MAD)0
Skewness0.5954114077
Sum53286
Variance0.2296486297
MonotonicityNot monotonic
2024-06-11T19:36:22.055726image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 95834
63.9%
1 53286
35.5%
(Missing) 880
 
0.6%
ValueCountFrequency (%)
0 95834
63.9%
1 53286
35.5%
ValueCountFrequency (%)
1 53286
35.5%
0 95834
63.9%

loc_cnt_events
Real number (ℝ)

Distinct2646
Distinct (%)1.8%
Missing880
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean29.98288232
Minimum1.480453014
Maximum140.7885875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.116529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile11.10002615
Q122.57036682
median30.18892289
Q337.42703612
95-th percentile47.74912002
Maximum140.7885875
Range139.3081345
Interquartile range (IQR)14.8566693

Descriptive statistics

Standard deviation11.21643387
Coefficient of variation (CV)0.3740945833
Kurtosis1.085810764
Mean29.98288232
Median Absolute Deviation (MAD)7.441258708
Skewness0.1548633991
Sum4471047.412
Variance125.8083887
MonotonicityNot monotonic
2024-06-11T19:36:22.188704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 436
 
0.3%
17.05871926 418
 
0.3%
20.31118337 417
 
0.3%
20.41917452 416
 
0.3%
18.03323823 415
 
0.3%
17.62631161 414
 
0.3%
19.17043973 413
 
0.3%
20.6321375 410
 
0.3%
17.34626355 409
 
0.3%
24.38962268 404
 
0.3%
Other values (2636) 144968
96.6%
(Missing) 880
 
0.6%
ValueCountFrequency (%)
1.480453014 436
0.3%
2.206948961 317
0.2%
2.921812056 357
0.2%
3.590290394 360
0.2%
4.210401996 338
0.2%
ValueCountFrequency (%)
140.7885875 1
< 0.1%
133.6811084 1
< 0.1%
129.3846697 1
< 0.1%
125.6499032 1
< 0.1%
123.2969509 1
< 0.1%

loc_market_share
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing880
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.109742993
Minimum1.003115098
Maximum1.480453014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.254309image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.003115098
5-th percentile1.00768156
Q11.066428978
median1.101459103
Q31.150370416
95-th percentile1.197289538
Maximum1.480453014
Range0.4773379157
Interquartile range (IQR)0.08394143865

Descriptive statistics

Standard deviation0.06227914142
Coefficient of variation (CV)0.05612032858
Kurtosis5.27743223
Mean1.109742993
Median Absolute Deviation (MAD)0.03787518563
Skewness1.066278178
Sum165484.8752
Variance0.003878691456
MonotonicityNot monotonic
2024-06-11T19:36:22.316539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.066428978 21198
14.1%
1.098508969 15687
 
10.5%
1.186492133 12573
 
8.4%
1.142799598 11930
 
8.0%
1.063583917 8674
 
5.8%
1.183024401 8503
 
5.7%
1.197289538 7566
 
5.0%
1.117664207 7389
 
4.9%
1.134740914 6247
 
4.2%
1.108346208 5446
 
3.6%
Other values (15) 43907
29.3%
ValueCountFrequency (%)
1.003115098 1615
1.1%
1.00397766 2916
1.9%
1.004452043 1121
 
0.7%
1.00768156 2513
1.7%
1.016507409 1334
0.9%
ValueCountFrequency (%)
1.480453014 824
 
0.5%
1.242314235 210
 
0.1%
1.197289538 7566
5.0%
1.186492133 12573
8.4%
1.183024401 8503
5.7%

device_sim_count
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing9558
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean1.888552897
Minimum0
Maximum3.590290394
Zeros9322
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.367126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.480453014
median2.206948961
Q32.206948961
95-th percentile2.206948961
Maximum3.590290394
Range3.590290394
Interquartile range (IQR)0.7264959469

Descriptive statistics

Standard deviation0.5908433798
Coefficient of variation (CV)0.3128550863
Kurtosis4.080997216
Mean1.888552897
Median Absolute Deviation (MAD)0
Skewness-2.12192699
Sum265232.146
Variance0.3490958994
MonotonicityNot monotonic
2024-06-11T19:36:22.417356image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2.206948961 97438
65.0%
1.480453014 33484
 
22.3%
0 9322
 
6.2%
2.921812056 136
 
0.1%
3.590290394 62
 
< 0.1%
(Missing) 9558
 
6.4%
ValueCountFrequency (%)
0 9322
 
6.2%
1.480453014 33484
 
22.3%
2.206948961 97438
65.0%
2.921812056 136
 
0.1%
3.590290394 62
 
< 0.1%
ValueCountFrequency (%)
3.590290394 62
 
< 0.1%
2.921812056 136
 
0.1%
2.206948961 97438
65.0%
1.480453014 33484
 
22.3%
0 9322
 
6.2%

device_days_usage
Real number (ℝ)

MISSING 

Distinct4253
Distinct (%)3.0%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean36.10205516
Minimum2.206948961
Maximum74.53207709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.479951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.206948961
5-th percentile13.01132535
Q126.82067032
median36.19153296
Q346.59315523
95-th percentile56.85355362
Maximum74.53207709
Range72.32512813
Interquartile range (IQR)19.77248491

Descriptive statistics

Standard deviation13.75816465
Coefficient of variation (CV)0.3810908988
Kurtosis-0.3338428929
Mean36.10205516
Median Absolute Deviation (MAD)9.888552941
Skewness-0.06931778843
Sum5154109.905
Variance189.2870946
MonotonicityNot monotonic
2024-06-11T19:36:22.655642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.33292594 880
 
0.6%
28.25211494 380
 
0.3%
2.921812056 379
 
0.3%
3.590290394 351
 
0.2%
15.49067931 324
 
0.2%
15.32009119 313
 
0.2%
2.206948961 310
 
0.2%
15.98619727 308
 
0.2%
4.210401996 306
 
0.2%
14.97017418 305
 
0.2%
Other values (4243) 138909
92.6%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
2.206948961 310
0.2%
2.921812056 379
0.3%
3.590290394 351
0.2%
4.210401996 306
0.2%
4.786566308 277
0.2%
ValueCountFrequency (%)
74.53207709 100
0.1%
74.52883972 24
 
< 0.1%
74.52560181 10
 
< 0.1%
74.52236336 7
 
< 0.1%
74.51912436 4
 
< 0.1%

device_has_wifi
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing9558
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean0.7674627248
Minimum0
Maximum1
Zeros32658
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.713910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4224511351
Coefficient of variation (CV)0.5504516655
Kurtosis-0.396590702
Mean0.7674627248
Median Absolute Deviation (MAD)0
Skewness-1.26626022
Sum107784
Variance0.1784649616
MonotonicityNot monotonic
2024-06-11T19:36:22.762698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 107784
71.9%
0 32658
 
21.8%
(Missing) 9558
 
6.4%
ValueCountFrequency (%)
0 32658
 
21.8%
1 107784
71.9%
ValueCountFrequency (%)
1 107784
71.9%
0 32658
 
21.8%

device_brand_nan
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.01627149511
Minimum0
Maximum1
Zeros140442
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.809688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265181634
Coefficient of variation (CV)7.775447957
Kurtosis56.47572803
Mean0.01627149511
Median Absolute Deviation (MAD)0
Skewness7.646890666
Sum2323
Variance0.01600684568
MonotonicityNot monotonic
2024-06-11T19:36:22.859442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 140442
93.6%
1 2323
 
1.5%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 140442
93.6%
1 2323
 
1.5%
ValueCountFrequency (%)
1 2323
 
1.5%
0 140442
93.6%

device_type_tablet
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.007382761881
Minimum0
Maximum1
Zeros141711
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:22.909086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08560553744
Coefficient of variation (CV)11.5953269
Kurtosis130.4627129
Mean0.007382761881
Median Absolute Deviation (MAD)0
Skewness11.50916527
Sum1054
Variance0.00732830804
MonotonicityNot monotonic
2024-06-11T19:36:22.959663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 141711
94.5%
1 1054
 
0.7%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 141711
94.5%
1 1054
 
0.7%
ValueCountFrequency (%)
1 1054
 
0.7%
0 141711
94.5%

device_brand_xiaomi
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.2817006969
Minimum0
Maximum1
Zeros102548
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.009052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4498297807
Coefficient of variation (CV)1.596835881
Kurtosis-1.057950731
Mean0.2817006969
Median Absolute Deviation (MAD)0
Skewness0.9705998607
Sum40217
Variance0.2023468316
MonotonicityNot monotonic
2024-06-11T19:36:23.057279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 102548
68.4%
1 40217
 
26.8%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 102548
68.4%
1 40217
 
26.8%
ValueCountFrequency (%)
1 40217
 
26.8%
0 102548
68.4%

imei_mean_price
Real number (ℝ)

MISSING 

Distinct3332
Distinct (%)2.8%
Missing32582
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean24.10177113
Minimum6.749901739
Maximum75.27205973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.115399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.749901739
5-th percentile13.50412131
Q120.31118337
median23.75943179
Q327.58616744
95-th percentile35.45969523
Maximum75.27205973
Range68.52215799
Interquartile range (IQR)7.274984063

Descriptive statistics

Standard deviation6.483568985
Coefficient of variation (CV)0.2690079891
Kurtosis1.067037484
Mean24.10177113
Median Absolute Deviation (MAD)3.677272342
Skewness0.5220519524
Sum2829981.763
Variance42.03666679
MonotonicityNot monotonic
2024-06-11T19:36:23.185057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.17967472 3028
 
2.0%
23.99960696 3007
 
2.0%
10.26911687 2725
 
1.8%
21.34785349 2688
 
1.8%
19.17043973 2588
 
1.7%
24.76754894 2449
 
1.6%
20.31118337 2311
 
1.5%
22.29933738 2310
 
1.5%
16.45925281 2310
 
1.5%
12.79226812 2108
 
1.4%
Other values (3322) 91894
61.3%
(Missing) 32582
 
21.7%
ValueCountFrequency (%)
6.749901739 5
 
< 0.1%
10.26911687 2725
1.8%
10.52896186 1
 
< 0.1%
10.7399882 3
 
< 0.1%
10.83132398 8
 
< 0.1%
ValueCountFrequency (%)
75.27205973 1
 
< 0.1%
69.85749541 1
 
< 0.1%
61.12533233 1
 
< 0.1%
53.59228652 1
 
< 0.1%
51.86112364 63
< 0.1%

device_brand_meizu
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.01346968795
Minimum0
Maximum1
Zeros140842
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.242521image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1152750994
Coefficient of variation (CV)8.558112096
Kurtosis69.25689079
Mean0.01346968795
Median Absolute Deviation (MAD)0
Skewness8.441322205
Sum1923
Variance0.01328834853
MonotonicityNot monotonic
2024-06-11T19:36:23.294222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 140842
93.9%
1 1923
 
1.3%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 140842
93.9%
1 1923
 
1.3%
ValueCountFrequency (%)
1 1923
 
1.3%
0 140842
93.9%

imei_max_price
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)0.1%
Missing32582
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean28.3797318
Minimum6.749901739
Maximum81.54604086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.355266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.749901739
5-th percentile14.79061749
Q123.5966197
median28.02437138
Q333.57110757
95-th percentile43.74727236
Maximum81.54604086
Range74.79613912
Interquartile range (IQR)9.974487869

Descriptive statistics

Standard deviation8.127451822
Coefficient of variation (CV)0.2863822632
Kurtosis0.2766554541
Mean28.3797318
Median Absolute Deviation (MAD)4.844696667
Skewness0.2268374552
Sum3332291.348
Variance66.05547312
MonotonicityNot monotonic
2024-06-11T19:36:23.426962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.99960696 6256
 
4.2%
28.58637616 5990
 
4.0%
32.79104338 5624
 
3.7%
26.17309696 5504
 
3.7%
29.12504295 5349
 
3.6%
23.17967472 4622
 
3.1%
24.76754894 4412
 
2.9%
28.02437138 4381
 
2.9%
26.82067032 4323
 
2.9%
21.34785349 3584
 
2.4%
Other values (78) 67373
44.9%
(Missing) 32582
21.7%
ValueCountFrequency (%)
6.749901739 5
 
< 0.1%
10.26911687 2724
1.8%
12.79226812 2228
1.5%
14.79061749 2289
1.5%
16.45925281 2939
2.0%
ValueCountFrequency (%)
81.54604086 1
 
< 0.1%
75.27205973 4
< 0.1%
74.08344565 9
< 0.1%
66.74000813 4
< 0.1%
61.12533233 5
< 0.1%

device_has_lte
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing9558
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean0.7783212999
Minimum0
Maximum1
Zeros31133
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.485634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4153775181
Coefficient of variation (CV)0.5336838632
Kurtosis-0.2041147983
Mean0.7783212999
Median Absolute Deviation (MAD)0
Skewness-1.340107499
Sum109309
Variance0.1725384826
MonotonicityNot monotonic
2024-06-11T19:36:23.534523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 109309
72.9%
0 31133
 
20.8%
(Missing) 9558
 
6.4%
ValueCountFrequency (%)
0 31133
 
20.8%
1 109309
72.9%
ValueCountFrequency (%)
1 109309
72.9%
0 31133
 
20.8%

device_brand_lg
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.004861135432
Minimum0
Maximum1
Zeros142071
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.583010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06955241678
Coefficient of variation (CV)14.30785415
Kurtosis200.7252132
Mean0.004861135432
Median Absolute Deviation (MAD)0
Skewness14.23806171
Sum694
Variance0.004837538679
MonotonicityNot monotonic
2024-06-11T19:36:23.635031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142071
94.7%
1 694
 
0.5%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 142071
94.7%
1 694
 
0.5%
ValueCountFrequency (%)
1 694
 
0.5%
0 142071
94.7%

device_brand_samsung
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.2325359857
Minimum0
Maximum1
Zeros109567
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.686221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4224502943
Coefficient of variation (CV)1.816709328
Kurtosis-0.3965695093
Mean0.2325359857
Median Absolute Deviation (MAD)0
Skewness1.266268552
Sum33198
Variance0.1784642511
MonotonicityNot monotonic
2024-06-11T19:36:23.735498image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 109567
73.0%
1 33198
 
22.1%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 109567
73.0%
1 33198
 
22.1%
ValueCountFrequency (%)
1 33198
 
22.1%
0 109567
73.0%

device_has_gprs
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

device_brand_other
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.9837285049
Minimum0
Maximum1
Zeros2323
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.784430image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265181634
Coefficient of variation (CV)0.1286108543
Kurtosis56.47572803
Mean0.9837285049
Median Absolute Deviation (MAD)0
Skewness-7.646890666
Sum140442
Variance0.01600684568
MonotonicityNot monotonic
2024-06-11T19:36:23.837963image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 140442
93.6%
0 2323
 
1.5%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 2323
 
1.5%
1 140442
93.6%
ValueCountFrequency (%)
1 140442
93.6%
0 2323
 
1.5%

device_type_nan
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.01988582636
Minimum0
Maximum1
Zeros139926
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:23.887250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.139608441
Coefficient of variation (CV)7.02049985
Kurtosis45.30899106
Mean0.01988582636
Median Absolute Deviation (MAD)0
Skewness6.878107031
Sum2839
Variance0.01949051679
MonotonicityNot monotonic
2024-06-11T19:36:23.939715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 139926
93.3%
1 2839
 
1.9%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 139926
93.3%
1 2839
 
1.9%
ValueCountFrequency (%)
1 2839
 
1.9%
0 139926
93.3%

imei_mean_days_usage
Real number (ℝ)

Distinct50808
Distinct (%)34.2%
Missing1349
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean34.69713776
Minimum0
Maximum74.52883972
Zeros183
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.000975image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.30391902
Q127.64192223
median35.73060598
Q342.06746924
95-th percentile51.36345432
Maximum74.52883972
Range74.52883972
Interquartile range (IQR)14.425547

Descriptive statistics

Standard deviation10.94520307
Coefficient of variation (CV)0.3154497397
Kurtosis0.02911698573
Mean34.69713776
Median Absolute Deviation (MAD)7.07110602
Skewness-0.199776429
Sum5157764.225
Variance119.7974703
MonotonicityNot monotonic
2024-06-11T19:36:24.071054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
0.1%
18.67944002 156
 
0.1%
14.03872817 153
 
0.1%
15.82363655 151
 
0.1%
17.48719744 150
 
0.1%
52.68413277 150
 
0.1%
16.45925281 149
 
0.1%
56.90046141 144
 
0.1%
17.76365739 143
 
0.1%
14.79061749 143
 
0.1%
Other values (50798) 147129
98.1%
(Missing) 1349
 
0.9%
ValueCountFrequency (%)
0 183
0.1%
1.000891199 1
 
< 0.1%
1.001811321 1
 
< 0.1%
1.003675345 1
 
< 0.1%
1.00908403 1
 
< 0.1%
ValueCountFrequency (%)
74.52883972 36
< 0.1%
74.52560181 16
< 0.1%
74.52236336 4
 
< 0.1%
74.51912436 2
 
< 0.1%
74.51588483 3
 
< 0.1%

device_type_smartphone
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.8208314363
Minimum0
Maximum1
Zeros25579
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.128009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3834947453
Coefficient of variation (CV)0.4672027999
Kurtosis0.7996832132
Mean0.8208314363
Median Absolute Deviation (MAD)0
Skewness-1.673222045
Sum117186
Variance0.1470682196
MonotonicityNot monotonic
2024-06-11T19:36:24.177386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 117186
78.1%
0 25579
 
17.1%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 25579
 
17.1%
1 117186
78.1%
ValueCountFrequency (%)
1 117186
78.1%
0 25579
 
17.1%

device_type_rus_other
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.9837285049
Minimum0
Maximum1
Zeros2323
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.226712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265181634
Coefficient of variation (CV)0.1286108543
Kurtosis56.47572803
Mean0.9837285049
Median Absolute Deviation (MAD)0
Skewness-7.646890666
Sum140442
Variance0.01600684568
MonotonicityNot monotonic
2024-06-11T19:36:24.277190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 140442
93.6%
0 2323
 
1.5%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 2323
 
1.5%
1 140442
93.6%
ValueCountFrequency (%)
1 140442
93.6%
0 2323
 
1.5%

imei_mean_day_announced
Real number (ℝ)

MISSING 

Distinct42210
Distinct (%)35.8%
Missing32163
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean50.35485174
Minimum-68.82989605
Maximum83.46094681
Zeros2
Zeros (%)< 0.1%
Negative1616
Negative (%)1.1%
Memory size1.1 MiB
2024-06-11T19:36:24.336401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-68.82989605
5-th percentile33.76877553
Q145.73646837
median51.91803391
Q357.43395082
95-th percentile65.62900239
Maximum83.46094681
Range152.2908429
Interquartile range (IQR)11.69748245

Descriptive statistics

Standard deviation13.52682915
Coefficient of variation (CV)0.2686301058
Kurtosis21.11342275
Mean50.35485174
Median Absolute Deviation (MAD)5.822384668
Skewness-3.514893487
Sum5933664.665
Variance182.9751069
MonotonicityNot monotonic
2024-06-11T19:36:24.407011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.93873491 62
 
< 0.1%
43.38346366 49
 
< 0.1%
41.48812665 42
 
< 0.1%
54.7252305 38
 
< 0.1%
53.61283259 36
 
< 0.1%
53.48917801 36
 
< 0.1%
53.42700799 36
 
< 0.1%
53.55111894 36
 
< 0.1%
49.40676967 35
 
< 0.1%
47.61652096 35
 
< 0.1%
Other values (42200) 117432
78.3%
(Missing) 32163
 
21.4%
ValueCountFrequency (%)
-68.82989605 1
< 0.1%
-68.825531 1
< 0.1%
-68.82116493 1
< 0.1%
-68.81242975 1
< 0.1%
-68.36144485 1
< 0.1%
ValueCountFrequency (%)
83.46094681 1
< 0.1%
82.53255037 1
< 0.1%
82.01757695 1
< 0.1%
81.81459284 1
< 0.1%
81.73147499 1
< 0.1%

device_brand_huawei
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.05824957097
Minimum0
Maximum1
Zeros134449
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.465706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2342155902
Coefficient of variation (CV)4.020898117
Kurtosis12.22983121
Mean0.05824957097
Median Absolute Deviation (MAD)0
Skewness3.772222141
Sum8316
Variance0.0548569427
MonotonicityNot monotonic
2024-06-11T19:36:24.518970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 134449
89.6%
1 8316
 
5.5%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 134449
89.6%
1 8316
 
5.5%
ValueCountFrequency (%)
1 8316
 
5.5%
0 134449
89.6%

device_price
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)0.2%
Missing103513
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean27.34514023
Minimum6.749901739
Maximum75.27205973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.580618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.749901739
5-th percentile10.26911687
Q121.34785349
median26.82067032
Q332.79104338
95-th percentile43.93535961
Maximum75.27205973
Range68.52215799
Interquartile range (IQR)11.44318989

Descriptive statistics

Standard deviation9.589925811
Coefficient of variation (CV)0.3506994562
Kurtosis-0.2368981532
Mean27.34514023
Median Absolute Deviation (MAD)5.970373057
Skewness0.2543581397
Sum1271193.534
Variance91.96667705
MonotonicityNot monotonic
2024-06-11T19:36:24.650986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.26911687 3008
 
2.0%
32.79104338 2827
 
1.9%
23.99960696 2639
 
1.8%
28.58637616 2126
 
1.4%
23.17967472 2118
 
1.4%
28.02437138 1990
 
1.3%
26.82067032 1767
 
1.2%
24.76754894 1580
 
1.1%
40.8379963 1578
 
1.1%
29.12504295 1566
 
1.0%
Other values (69) 25288
 
16.9%
(Missing) 103513
69.0%
ValueCountFrequency (%)
6.749901739 4
 
< 0.1%
10.26911687 3008
2.0%
12.79226812 1524
1.0%
14.79061749 1406
0.9%
16.45925281 1401
0.9%
ValueCountFrequency (%)
75.27205973 1
 
< 0.1%
61.12533233 1
 
< 0.1%
51.86112364 310
0.2%
51.2810021 11
 
< 0.1%
50.67975097 340
0.2%

imei_mean_long_days_usage
Real number (ℝ)

MISSING 

Distinct40992
Distinct (%)27.7%
Missing1792
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean38.92489371
Minimum8.687248223
Maximum74.52883972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.723491image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8.687248223
5-th percentile18.55320686
Q131.5231234
median40.42992465
Q346.7392006
95-th percentile55.56583901
Maximum74.52883972
Range65.8415915
Interquartile range (IQR)15.2160772

Descriptive statistics

Standard deviation11.14882974
Coefficient of variation (CV)0.2864190156
Kurtosis-0.2593600177
Mean38.92489371
Median Absolute Deviation (MAD)7.204390922
Skewness-0.253990321
Sum5768980.647
Variance124.2964046
MonotonicityNot monotonic
2024-06-11T19:36:24.906577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.90046141 252
 
0.2%
52.68413277 223
 
0.1%
63.12493858 194
 
0.1%
52.68141966 179
 
0.1%
17.76365739 170
 
0.1%
14.03872817 167
 
0.1%
18.67944002 166
 
0.1%
16.45925281 165
 
0.1%
23.75943179 162
 
0.1%
15.65849494 159
 
0.1%
Other values (40982) 146371
97.6%
(Missing) 1792
 
1.2%
ValueCountFrequency (%)
8.687248223 18
< 0.1%
9.027097853 23
< 0.1%
9.192193883 3
 
< 0.1%
9.246543868 1
 
< 0.1%
9.354248899 20
< 0.1%
ValueCountFrequency (%)
74.52883972 67
< 0.1%
74.52560181 20
 
< 0.1%
74.52236336 7
 
< 0.1%
74.51912436 5
 
< 0.1%
74.51588483 4
 
< 0.1%

device_brand_apple
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.1060974328
Minimum0
Maximum1
Zeros127618
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:24.963400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3079633613
Coefficient of variation (CV)2.902646681
Kurtosis4.544190067
Mean0.1060974328
Median Absolute Deviation (MAD)0
Skewness2.55814902
Sum15147
Variance0.09484143191
MonotonicityNot monotonic
2024-06-11T19:36:25.013697image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 127618
85.1%
1 15147
 
10.1%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 127618
85.1%
1 15147
 
10.1%
ValueCountFrequency (%)
1 15147
 
10.1%
0 127618
85.1%

device_width_mm
Real number (ℝ)

MISSING  ZEROS 

Distinct617
Distinct (%)0.4%
Missing9558
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean16.69815158
Minimum0
Maximum31.39789654
Zeros17906
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.074354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.2311323
median19.53660291
Q319.84605773
95-th percentile20.0143754
Maximum31.39789654
Range31.39789654
Interquartile range (IQR)1.614925427

Descriptive statistics

Standard deviation6.589144308
Coefficient of variation (CV)0.3946032156
Kurtosis2.360041627
Mean16.69815158
Median Absolute Deviation (MAD)0.377083112
Skewness-2.015473722
Sum2345121.804
Variance43.41682271
MonotonicityNot monotonic
2024-06-11T19:36:25.144855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17906
 
11.9%
19.80074594 5274
 
3.5%
19.84605773 3897
 
2.6%
19.34911383 3668
 
2.4%
19.83474684 3648
 
2.4%
19.98872883 3183
 
2.1%
19.77802157 3160
 
2.1%
19.27798714 3151
 
2.1%
19.72100925 2976
 
2.0%
19.59455575 2873
 
1.9%
Other values (607) 90706
60.5%
(Missing) 9558
 
6.4%
ValueCountFrequency (%)
0 17906
11.9%
5.630080579 682
 
0.5%
5.827795843 48
 
< 0.1%
8.076980806 2
 
< 0.1%
8.333535892 8
 
< 0.1%
ValueCountFrequency (%)
31.39789654 1
 
< 0.1%
29.88863991 2
 
< 0.1%
28.56986637 1
 
< 0.1%
28.34770216 10
< 0.1%
28.3084283 9
< 0.1%

device_brand_prestigio
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.001555002977
Minimum0
Maximum1
Zeros142543
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.201804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0394029925
Coefficient of variation (CV)25.3394965
Kurtosis638.1095331
Mean0.001555002977
Median Absolute Deviation (MAD)0
Skewness25.30020936
Sum222
Variance0.001552595818
MonotonicityNot monotonic
2024-06-11T19:36:25.252905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142543
95.0%
1 222
 
0.1%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 142543
95.0%
1 222
 
0.1%
ValueCountFrequency (%)
1 222
 
0.1%
0 142543
95.0%

device_ios_version
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.1%
Missing137959
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean11.22017274
Minimum4
Maximum14.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.304854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q110
median11
Q313
95-th percentile14
Maximum14.1
Range10.1
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.986188399
Coefficient of variation (CV)0.1770194135
Kurtosis-0.3458910185
Mean11.22017274
Median Absolute Deviation (MAD)2
Skewness-0.4054002594
Sum135102.1
Variance3.944944356
MonotonicityNot monotonic
2024-06-11T19:36:25.359978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10 2512
 
1.7%
13 2335
 
1.6%
12 1973
 
1.3%
14 1647
 
1.1%
9 1225
 
0.8%
11 1066
 
0.7%
8 701
 
0.5%
9.3 279
 
0.2%
7 155
 
0.1%
5 64
 
< 0.1%
Other values (5) 84
 
0.1%
(Missing) 137959
92.0%
ValueCountFrequency (%)
4 31
 
< 0.1%
5 64
 
< 0.1%
6 41
 
< 0.1%
7 155
 
0.1%
8 701
0.5%
ValueCountFrequency (%)
14.1 6
 
< 0.1%
14 1647
1.1%
13.4 4
 
< 0.1%
13.1 2
 
< 0.1%
13 2335
1.6%

device_type_module
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.001744124961
Minimum0
Maximum1
Zeros142516
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.409001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04172643268
Coefficient of variation (CV)23.92399262
Kurtosis568.3751086
Mean0.001744124961
Median Absolute Deviation (MAD)0
Skewness23.88236057
Sum249
Variance0.001741095184
MonotonicityNot monotonic
2024-06-11T19:36:25.460282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142516
95.0%
1 249
 
0.2%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 142516
95.0%
1 249
 
0.2%
ValueCountFrequency (%)
1 249
 
0.2%
0 142516
95.0%

device_android_version
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing66736
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean8.545071099
Minimum0
Maximum21
Zeros1713
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.514662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median9
Q310
95-th percentile11
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.106922007
Coefficient of variation (CV)0.2465657667
Kurtosis3.964663668
Mean8.545071099
Median Absolute Deviation (MAD)1
Skewness-1.76869751
Sum711496.8
Variance4.439120344
MonotonicityNot monotonic
2024-06-11T19:36:25.570471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 23930
 
16.0%
10 23405
 
15.6%
11 7685
 
5.1%
8 5833
 
3.9%
5.1 5675
 
3.8%
8.1 5490
 
3.7%
7 2855
 
1.9%
6 2707
 
1.8%
0 1713
 
1.1%
7.1 1495
 
1.0%
Other values (14) 2476
 
1.7%
(Missing) 66736
44.5%
ValueCountFrequency (%)
0 1713
1.1%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
2.2 58
 
< 0.1%
2.3 112
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
11 7685
 
5.1%
10 23405
15.6%
9 23930
16.0%
8.1 5490
 
3.7%

device_brand_nokia
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.07592897419
Minimum0
Maximum1
Zeros131925
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.619433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2648853649
Coefficient of variation (CV)3.488594015
Kurtosis8.252701905
Mean0.07592897419
Median Absolute Deviation (MAD)0
Skewness3.201966004
Sum10840
Variance0.07016425653
MonotonicityNot monotonic
2024-06-11T19:36:25.669696image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 131925
87.9%
1 10840
 
7.2%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 131925
87.9%
1 10840
 
7.2%
ValueCountFrequency (%)
1 10840
 
7.2%
0 131925
87.9%

device_type_modem
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.005379469758
Minimum0
Maximum1
Zeros141997
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.722740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07314758056
Coefficient of variation (CV)13.59754471
Kurtosis180.9037133
Mean0.005379469758
Median Absolute Deviation (MAD)0
Skewness13.52409624
Sum768
Variance0.005350568541
MonotonicityNot monotonic
2024-06-11T19:36:25.779465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 141997
94.7%
1 768
 
0.5%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 141997
94.7%
1 768
 
0.5%
ValueCountFrequency (%)
1 768
 
0.5%
0 141997
94.7%

device_height_mm
Real number (ℝ)

MISSING  ZEROS 

Distinct850
Distinct (%)0.6%
Missing9558
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean22.61580651
Minimum0
Maximum94.51213744
Zeros17906
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.842138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.35117894
median26.23276338
Q326.77640685
95-th percentile27.12625863
Maximum94.51213744
Range94.51213744
Interquartile range (IQR)2.425227901

Descriptive statistics

Standard deviation8.867815034
Coefficient of variation (CV)0.3921069553
Kurtosis2.89299768
Mean22.61580651
Median Absolute Deviation (MAD)0.6759721418
Skewness-2.016221196
Sum3176209.098
Variance78.63814348
MonotonicityNot monotonic
2024-06-11T19:36:25.911252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17906
 
11.9%
27.12625863 4512
 
3.0%
26.72562955 4207
 
2.8%
26.96502726 3444
 
2.3%
26.23276338 3196
 
2.1%
26.77007083 2708
 
1.8%
25.37031458 2650
 
1.8%
26.90873552 2469
 
1.6%
26.59778597 2375
 
1.6%
26.00584992 2281
 
1.5%
Other values (840) 94694
63.1%
(Missing) 9558
 
6.4%
ValueCountFrequency (%)
0 17906
11.9%
8.039692923 11
 
< 0.1%
8.926526257 70
 
< 0.1%
9.159422039 682
 
0.5%
9.354248899 1
 
< 0.1%
ValueCountFrequency (%)
94.51213744 14
< 0.1%
32.99024336 5
 
< 0.1%
32.81510064 2
 
< 0.1%
32.14517095 3
 
< 0.1%
32.1375954 7
< 0.1%

device_brand_sony
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.003397191188
Minimum0
Maximum1
Zeros142280
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:25.965344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0581865448
Coefficient of variation (CV)17.12783932
Kurtosis289.3744101
Mean0.003397191188
Median Absolute Deviation (MAD)0
Skewness17.06957399
Sum485
Variance0.003385673995
MonotonicityNot monotonic
2024-06-11T19:36:26.016443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142280
94.9%
1 485
 
0.3%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 142280
94.9%
1 485
 
0.3%
ValueCountFrequency (%)
1 485
 
0.3%
0 142280
94.9%

device_brand_lenovo
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.009189927503
Minimum0
Maximum1
Zeros141453
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.065093image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09542293496
Coefficient of variation (CV)10.3834263
Kurtosis103.8277401
Mean0.009189927503
Median Absolute Deviation (MAD)0
Skewness10.28719036
Sum1312
Variance0.009105536516
MonotonicityNot monotonic
2024-06-11T19:36:26.116271image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 141453
94.3%
1 1312
 
0.9%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 141453
94.3%
1 1312
 
0.9%
ValueCountFrequency (%)
1 1312
 
0.9%
0 141453
94.3%

device_type_phone
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7235
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean0.143291423
Minimum0
Maximum1
Zeros122308
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.164865image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.350371019
Coefficient of variation (CV)2.44516393
Kurtosis2.146160028
Mean0.143291423
Median Absolute Deviation (MAD)0
Skewness2.036204794
Sum20457
Variance0.1227598509
MonotonicityNot monotonic
2024-06-11T19:36:26.215723image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 122308
81.5%
1 20457
 
13.6%
(Missing) 7235
 
4.8%
ValueCountFrequency (%)
0 122308
81.5%
1 20457
 
13.6%
ValueCountFrequency (%)
1 20457
 
13.6%
0 122308
81.5%

std_paym_6_month
Real number (ℝ)

MISSING  ZEROS 

Distinct58047
Distinct (%)47.0%
Missing26512
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean13.98367755
Minimum0
Maximum74.80749087
Zeros12022
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.280980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.398279301
median14.88137443
Q318.89372904
95-th percentile27.01394995
Maximum74.80749087
Range74.80749087
Interquartile range (IQR)11.49544974

Descriptive statistics

Standard deviation8.902097635
Coefficient of variation (CV)0.6366063295
Kurtosis2.129097646
Mean13.98367755
Median Absolute Deviation (MAD)5.368722775
Skewness0.7345818205
Sum1726816.373
Variance79.2473423
MonotonicityNot monotonic
2024-06-11T19:36:26.353619image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12022
 
8.0%
5.36093755 741
 
0.5%
3.643225324 737
 
0.5%
3.285971051 593
 
0.4%
8.384704596 587
 
0.4%
13.91210006 585
 
0.4%
5.907944658 574
 
0.4%
12.53805583 525
 
0.4%
4.659639159 507
 
0.3%
2.23713522 494
 
0.3%
Other values (58037) 106123
70.7%
(Missing) 26512
 
17.7%
ValueCountFrequency (%)
0 12022
8.0%
1.000024876 1
 
< 0.1%
1.000066126 1
 
< 0.1%
1.000099009 1
 
< 0.1%
1.000489044 1
 
< 0.1%
ValueCountFrequency (%)
74.80749087 1
< 0.1%
74.23408137 1
< 0.1%
72.84456197 1
< 0.1%
72.78481627 1
< 0.1%
71.31756631 1
< 0.1%

max_paym_6_month
Real number (ℝ)

MISSING 

Distinct2170
Distinct (%)1.6%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean27.66105169
Minimum1.000392144
Maximum109.2146097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.428184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.000392144
5-th percentile16.45925281
Q124.38962268
median26.17309696
Q330.89529516
95-th percentile39.89230567
Maximum109.2146097
Range108.2142176
Interquartile range (IQR)6.505672472

Descriptive statistics

Standard deviation7.709141553
Coefficient of variation (CV)0.278700233
Kurtosis4.949998231
Mean27.66105169
Median Absolute Deviation (MAD)2.951945987
Skewness0.9274251646
Sum3775899.523
Variance59.43086348
MonotonicityNot monotonic
2024-06-11T19:36:26.499936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.17309696 15665
 
10.4%
29.12504295 14927
 
10.0%
22.29933738 8425
 
5.6%
23.99960696 7418
 
4.9%
33.57110757 7239
 
4.8%
24.76754894 6759
 
4.5%
24.38962268 4668
 
3.1%
25.49022445 4472
 
3.0%
31.96388736 4057
 
2.7%
28.02437138 2808
 
1.9%
Other values (2160) 60068
40.0%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
1.000392144 2
< 0.1%
1.000873723 2
< 0.1%
1.001538264 1
 
< 0.1%
1.00238048 1
 
< 0.1%
1.003395266 4
< 0.1%
ValueCountFrequency (%)
109.2146097 1
< 0.1%
96.847054 1
< 0.1%
93.4649971 1
< 0.1%
93.44575802 1
< 0.1%
89.22366349 1
< 0.1%

avg_paym_6_month
Real number (ℝ)

MISSING 

Distinct26194
Distinct (%)19.2%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean24.59645821
Minimum1.000392144
Maximum82.76626554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.568886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.000392144
5-th percentile13.84160798
Q122.10185742
median24.38962268
Q327.18321925
95-th percentile33.75942642
Maximum82.76626554
Range81.76587339
Interquartile range (IQR)5.081361829

Descriptive statistics

Standard deviation6.767522896
Coefficient of variation (CV)0.2751421703
Kurtosis4.978078245
Mean24.59645821
Median Absolute Deviation (MAD)2.494013787
Skewness0.7816841245
Sum3357564.125
Variance45.79936614
MonotonicityNot monotonic
2024-06-11T19:36:26.642080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.29933738 4226
 
2.8%
23.99960696 3346
 
2.2%
26.17309696 2572
 
1.7%
24.38962268 2306
 
1.5%
24.76754894 2027
 
1.4%
29.12504295 1857
 
1.2%
25.49022445 1410
 
0.9%
16.45925281 1000
 
0.7%
6.749901739 968
 
0.6%
28.02437138 918
 
0.6%
Other values (26184) 115876
77.3%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
1.000392144 3
< 0.1%
1.000532007 1
 
< 0.1%
1.000873723 1
 
< 0.1%
1.00238048 1
 
< 0.1%
1.003395266 4
< 0.1%
ValueCountFrequency (%)
82.76626554 1
< 0.1%
78.68253873 1
< 0.1%
76.323834 1
< 0.1%
73.44773801 1
< 0.1%
73.20231513 1
< 0.1%

count_day_for_last_paym
Real number (ℝ)

MISSING 

Distinct362
Distinct (%)0.3%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean10.62697515
Minimum1.480453014
Maximum61.77851994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.712194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile2.206948961
Q15.827795843
median9.974411855
Q313.01132535
95-th percentile24.76754894
Maximum61.77851994
Range60.29806692
Interquartile range (IQR)7.183529505

Descriptive statistics

Standard deviation6.391580485
Coefficient of variation (CV)0.6014487088
Kurtosis1.022192639
Mean10.62697515
Median Absolute Deviation (MAD)3.666087984
Skewness1.022513989
Sum1450645.87
Variance40.8523011
MonotonicityNot monotonic
2024-06-11T19:36:26.783056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 5168
 
3.4%
2.206948961 4620
 
3.1%
3.590290394 4606
 
3.1%
2.921812056 4221
 
2.8%
5.827795843 4140
 
2.8%
5.324077125 3963
 
2.6%
4.786566308 3864
 
2.6%
8.333535892 3695
 
2.5%
6.30189811 3680
 
2.5%
6.749901739 3673
 
2.4%
Other values (352) 94876
63.3%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
1.480453014 5168
3.4%
2.206948961 4620
3.1%
2.921812056 4221
2.8%
3.590290394 4606
3.1%
4.210401996 3579
2.4%
ValueCountFrequency (%)
61.77851994 1
< 0.1%
54.99227843 1
< 0.1%
54.87834278 1
< 0.1%
50.91082012 1
< 0.1%
49.59107782 1
< 0.1%

is_max_paym
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean0.5242919725
Minimum0
Maximum19
Zeros65694
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:26.951665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5186245755
Coefficient of variation (CV)0.9891903799
Kurtosis23.06368658
Mean0.5242919725
Median Absolute Deviation (MAD)0
Skewness0.8940641467
Sum71569
Variance0.2689714503
MonotonicityNot monotonic
2024-06-11T19:36:27.012485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 70222
46.8%
0 65694
43.8%
2 507
 
0.3%
3 60
 
< 0.1%
4 11
 
< 0.1%
5 5
 
< 0.1%
6 1
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
15 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
0 65694
43.8%
1 70222
46.8%
2 507
 
0.3%
3 60
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
19 1
< 0.1%
16 1
< 0.1%
15 1
< 0.1%
11 1
< 0.1%
10 1
< 0.1%

cnt_paym_6_month
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)0.1%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean4.710068848
Minimum1.480453014
Maximum76.86052995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:27.095940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q13.590290394
median4.786566308
Q35.324077125
95-th percentile8.687248223
Maximum76.86052995
Range75.38007693
Interquartile range (IQR)1.733786731

Descriptive statistics

Standard deviation2.39297211
Coefficient of variation (CV)0.5080545927
Kurtosis29.12317547
Mean4.710068848
Median Absolute Deviation (MAD)1.196275914
Skewness2.803941451
Sum642952.6581
Variance5.72631552
MonotonicityNot monotonic
2024-06-11T19:36:27.174083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.786566308 26127
17.4%
5.324077125 16441
11.0%
4.210401996 15246
10.2%
1.480453014 13018
8.7%
3.590290394 12363
8.2%
2.206948961 10521
7.0%
2.921812056 10158
 
6.8%
5.827795843 9514
 
6.3%
6.30189811 5133
 
3.4%
6.749901739 3670
 
2.4%
Other values (170) 14315
9.5%
(Missing) 13494
9.0%
ValueCountFrequency (%)
1.480453014 13018
8.7%
2.206948961 10521
7.0%
2.921812056 10158
6.8%
3.590290394 12363
8.2%
4.210401996 15246
10.2%
ValueCountFrequency (%)
76.86052995 1
< 0.1%
66.96326845 1
< 0.1%
59.59050111 1
< 0.1%
49.40676967 1
< 0.1%
48.4664684 1
< 0.1%

is_avg_paym
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean0.7427585601
Minimum0
Maximum19
Zeros36624
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:27.236692image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4738962031
Coefficient of variation (CV)0.6380218669
Kurtosis37.90945448
Mean0.7427585601
Median Absolute Deviation (MAD)0
Skewness0.6103324871
Sum101391
Variance0.2245776113
MonotonicityNot monotonic
2024-06-11T19:36:27.295264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 98646
65.8%
0 36624
 
24.4%
2 1079
 
0.7%
3 118
 
0.1%
4 21
 
< 0.1%
5 9
 
< 0.1%
6 2
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
15 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
0 36624
 
24.4%
1 98646
65.8%
2 1079
 
0.7%
3 118
 
0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
19 1
< 0.1%
16 1
< 0.1%
15 1
< 0.1%
14 1
< 0.1%
11 1
< 0.1%

last_paym
Real number (ℝ)

MISSING 

Distinct2682
Distinct (%)2.0%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean24.78536038
Minimum1.000099009
Maximum88.40163544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:27.365996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.000099009
5-th percentile8.687248223
Q122.29933738
median24.76754894
Q328.3084283
95-th percentile33.94522267
Maximum88.40163544
Range87.40153643
Interquartile range (IQR)6.009090913

Descriptive statistics

Standard deviation8.092836448
Coefficient of variation (CV)0.3265167955
Kurtosis3.341831269
Mean24.78536038
Median Absolute Deviation (MAD)2.468211555
Skewness0.3077423662
Sum3383350.404
Variance65.49400177
MonotonicityNot monotonic
2024-06-11T19:36:27.436356image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.29933738 13564
 
9.0%
26.17309696 12355
 
8.2%
23.99960696 10411
 
6.9%
29.12504295 8560
 
5.7%
24.76754894 7712
 
5.1%
24.38962268 6413
 
4.3%
25.49022445 4990
 
3.3%
31.96388736 4943
 
3.3%
28.02437138 3737
 
2.5%
33.57110757 3371
 
2.2%
Other values (2672) 60450
40.3%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
1.000099009 2
< 0.1%
1.000392144 4
< 0.1%
1.000873723 3
< 0.1%
1.001538264 4
< 0.1%
1.00238048 3
< 0.1%
ValueCountFrequency (%)
88.40163544 1
< 0.1%
76.68445648 1
< 0.1%
75.94588307 1
< 0.1%
73.54595237 1
< 0.1%
73.20231513 1
< 0.1%

min_paym_6_month
Real number (ℝ)

MISSING 

Distinct2634
Distinct (%)1.9%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean17.32943798
Minimum1.000099009
Maximum68.94736997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:27.505698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.000099009
5-th percentile2.921812056
Q19.027097853
median17.89928393
Q323.99960696
95-th percentile30.61991054
Maximum68.94736997
Range67.94727096
Interquartile range (IQR)14.9725091

Descriptive statistics

Standard deviation9.578607825
Coefficient of variation (CV)0.5527362075
Kurtosis0.7632160488
Mean17.32943798
Median Absolute Deviation (MAD)7.344740479
Skewness0.4569802394
Sum2365572.26
Variance91.74972786
MonotonicityNot monotonic
2024-06-11T19:36:27.582215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.29933738 15069
 
10.0%
6.749901739 9889
 
6.6%
10.26911687 8459
 
5.6%
16.45925281 8220
 
5.5%
23.99960696 8116
 
5.4%
4.210401996 5131
 
3.4%
26.17309696 4667
 
3.1%
24.38962268 3961
 
2.6%
12.79226812 3915
 
2.6%
24.76754894 3881
 
2.6%
Other values (2624) 65198
43.5%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
1.000099009 49
< 0.1%
1.000392144 30
< 0.1%
1.000873723 25
< 0.1%
1.001538264 33
< 0.1%
1.00238048 31
< 0.1%
ValueCountFrequency (%)
68.94736997 1
< 0.1%
67.87635859 1
< 0.1%
67.59872064 2
< 0.1%
67.12657433 2
< 0.1%
66.64209178 2
< 0.1%

sum_paym_6_month
Real number (ℝ)

MISSING 

Distinct18469
Distinct (%)13.5%
Missing13494
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean42.37563545
Minimum1.000392144
Maximum229.7764012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:27.656843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.000392144
5-th percentile21.34785349
Q136.92757359
median44.30481146
Q348.93663338
95-th percentile57.53761609
Maximum229.7764012
Range228.776009
Interquartile range (IQR)12.00905979

Descriptive statistics

Standard deviation11.4977795
Coefficient of variation (CV)0.2713299607
Kurtosis3.309055459
Mean42.37563545
Median Absolute Deviation (MAD)5.687103423
Skewness-0.5602340275
Sum5784528.493
Variance132.1989334
MonotonicityNot monotonic
2024-06-11T19:36:27.729714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.94201714 1993
 
1.3%
22.29933738 1389
 
0.9%
44.84301281 1351
 
0.9%
29.12504295 1350
 
0.9%
44.30481146 1349
 
0.9%
33.57110757 1198
 
0.8%
39.64619142 1096
 
0.7%
47.28768379 1088
 
0.7%
43.93535961 1072
 
0.7%
26.17309696 1013
 
0.7%
Other values (18459) 123607
82.4%
(Missing) 13494
 
9.0%
ValueCountFrequency (%)
1.000392144 2
 
< 0.1%
1.000873723 1
 
< 0.1%
1.00238048 1
 
< 0.1%
1.003395266 5
< 0.1%
1.004577693 1
 
< 0.1%
ValueCountFrequency (%)
229.7764012 1
< 0.1%
221.2595501 1
< 0.1%
189.8654659 1
< 0.1%
163.0108879 1
< 0.1%
160.2028517 1
< 0.1%

bs_delte_omo_change_tp
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)0.5%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean5.920089179
Minimum-47.28768379
Maximum44.84301281
Zeros337
Zeros (%)0.2%
Negative3233
Negative (%)2.2%
Memory size1.1 MiB
2024-06-11T19:36:27.816096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-47.28768379
5-th percentile-41.94201714
Q1-22.29933738
median22.29933738
Q329.12504295
95-th percentile34.30953264
Maximum44.84301281
Range92.1306966
Interquartile range (IQR)51.42438033

Descriptive statistics

Standard deviation28.06710643
Coefficient of variation (CV)4.740993856
Kurtosis-1.319630656
Mean5.920089179
Median Absolute Deviation (MAD)10.49170599
Skewness-0.5921173154
Sum54962.10794
Variance787.7624632
MonotonicityNot monotonic
2024-06-11T19:36:27.883534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
22.29933738 1870
 
1.2%
-22.29933738 1159
 
0.8%
29.12504295 991
 
0.7%
-29.12504295 622
 
0.4%
31.53063018 442
 
0.3%
-41.94201714 407
 
0.3%
0 337
 
0.2%
33.57110757 284
 
0.2%
26.17309696 260
 
0.2%
-36.92757359 234
 
0.2%
Other values (39) 2678
 
1.8%
(Missing) 140716
93.8%
ValueCountFrequency (%)
-47.28768379 5
 
< 0.1%
-46.51407661 41
 
< 0.1%
-45.7007366 192
0.1%
-43.93535961 126
0.1%
-42.97108718 20
 
< 0.1%
ValueCountFrequency (%)
44.84301281 82
0.1%
41.94201714 2
 
< 0.1%
39.64619142 1
 
< 0.1%
38.35003304 24
 
< 0.1%
38.0764675 8
 
< 0.1%

bs_delte_mb_change_tp
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)0.8%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean-37.95196902
Minimum-122.1986491
Maximum118.5818033
Zeros692
Zeros (%)0.5%
Negative5984
Negative (%)4.0%
Memory size1.1 MiB
2024-06-11T19:36:27.948741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-122.1986491
5-th percentile-113.7923794
Q1-109.1025627
median-91.1834416
Q370.18929498
95-th percentile113.7923794
Maximum118.5818033
Range240.7804524
Interquartile range (IQR)179.2918577

Descriptive statistics

Standard deviation87.62802515
Coefficient of variation (CV)-2.308919073
Kurtosis-1.209352032
Mean-37.95196902
Median Absolute Deviation (MAD)22.60893784
Skewness0.7485396525
Sum-352346.0804
Variance7678.670791
MonotonicityNot monotonic
2024-06-11T19:36:28.018380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-113.7923794 1399
 
0.9%
-93.92163963 879
 
0.6%
-104.03035 821
 
0.5%
0 692
 
0.5%
113.7923794 557
 
0.4%
93.92163963 427
 
0.3%
104.03035 419
 
0.3%
-73.95047482 396
 
0.3%
-109.1025627 394
 
0.3%
82.19875916 298
 
0.2%
Other values (62) 3002
 
2.0%
(Missing) 140716
93.8%
ValueCountFrequency (%)
-122.1986491 2
 
< 0.1%
-121.4405327 1
 
< 0.1%
-120.256751 3
 
< 0.1%
-118.5818033 29
< 0.1%
-118.3690755 5
 
< 0.1%
ValueCountFrequency (%)
118.5818033 5
 
< 0.1%
117.6981795 19
 
< 0.1%
116.3079942 3
 
< 0.1%
113.7923794 557
0.4%
112.7055295 10
 
< 0.1%

bs_delte_ppm_change_tp
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)0.8%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean8.765940892
Minimum-30.38219968
Maximum31.53063018
Zeros275
Zeros (%)0.2%
Negative2492
Negative (%)1.7%
Memory size1.1 MiB
2024-06-11T19:36:28.084429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-30.38219968
5-th percentile-26.50104569
Q1-6.749901739
median17.89928393
Q323.99960696
95-th percentile27.73390474
Maximum31.53063018
Range61.91282986
Interquartile range (IQR)30.7495087

Descriptive statistics

Standard deviation18.60495396
Coefficient of variation (CV)2.122413805
Kurtosis-0.9688684963
Mean8.765940892
Median Absolute Deviation (MAD)9.212035704
Skewness-0.7261443459
Sum81382.99525
Variance346.144312
MonotonicityNot monotonic
2024-06-11T19:36:28.162752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.83327441 871
 
0.6%
26.50104569 783
 
0.5%
-26.50104569 562
 
0.4%
17.89928393 547
 
0.4%
-17.89928393 441
 
0.3%
-21.83327441 432
 
0.3%
4.210401996 429
 
0.3%
27.13241915 346
 
0.2%
11.61519305 334
 
0.2%
0 275
 
0.2%
Other values (65) 4264
 
2.8%
(Missing) 140716
93.8%
ValueCountFrequency (%)
-30.38219968 19
< 0.1%
-29.38626447 2
 
< 0.1%
-28.3084283 2
 
< 0.1%
-28.02437138 4
 
< 0.1%
-27.73390474 1
 
< 0.1%
ValueCountFrequency (%)
31.53063018 2
 
< 0.1%
31.30867532 35
< 0.1%
31.0829974 3
 
< 0.1%
30.38219968 9
 
< 0.1%
29.38626447 5
 
< 0.1%

bs_delte_ppd_change_tp
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.1%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean0.6601535539
Minimum-4.786566308
Maximum6.30189811
Zeros7283
Zeros (%)4.9%
Negative16
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-11T19:36:28.221437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-4.786566308
5-th percentile0
Q10
median0
Q30
95-th percentile2.921812056
Maximum6.30189811
Range11.08846442
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.335364673
Coefficient of variation (CV)2.022809186
Kurtosis1.934124334
Mean0.6601535539
Median Absolute Deviation (MAD)0
Skewness1.557972809
Sum6128.865594
Variance1.78319881
MonotonicityNot monotonic
2024-06-11T19:36:28.275814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 7283
 
4.9%
2.921812056 1825
 
1.2%
5.324077125 128
 
0.1%
6.30189811 22
 
< 0.1%
-4.786566308 12
 
< 0.1%
4.786566308 6
 
< 0.1%
4.210401996 4
 
< 0.1%
-2.921812056 4
 
< 0.1%
(Missing) 140716
93.8%
ValueCountFrequency (%)
-4.786566308 12
 
< 0.1%
-2.921812056 4
 
< 0.1%
0 7283
4.9%
2.921812056 1825
 
1.2%
4.210401996 4
 
< 0.1%
ValueCountFrequency (%)
6.30189811 22
 
< 0.1%
5.324077125 128
 
0.1%
4.786566308 6
 
< 0.1%
4.210401996 4
 
< 0.1%
2.921812056 1825
1.2%

bs_direct_change_tp
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean0.6418379342
Minimum-1.480453014
Maximum1.480453014
Zeros275
Zeros (%)0.2%
Negative2492
Negative (%)1.7%
Memory size1.1 MiB
2024-06-11T19:36:28.322603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.480453014
5-th percentile-1.480453014
Q1-1.480453014
median1.480453014
Q31.480453014
95-th percentile1.480453014
Maximum1.480453014
Range2.960906028
Interquartile range (IQR)2.960906028

Descriptive statistics

Standard deviation1.309598672
Coefficient of variation (CV)2.040388395
Kurtosis-1.028426698
Mean0.6418379342
Median Absolute Deviation (MAD)0
Skewness-0.9618584553
Sum5958.823381
Variance1.715048682
MonotonicityNot monotonic
2024-06-11T19:36:28.379614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1.480453014 6517
 
4.3%
-1.480453014 2492
 
1.7%
0 275
 
0.2%
(Missing) 140716
93.8%
ValueCountFrequency (%)
-1.480453014 2492
 
1.7%
0 275
 
0.2%
1.480453014 6517
4.3%
ValueCountFrequency (%)
1.480453014 6517
4.3%
0 275
 
0.2%
-1.480453014 2492
 
1.7%

bs_arpu_change_tp
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.1%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean5.753596918
Minimum0
Maximum40.60705202
Zeros7358
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:28.431682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.02431032
Maximum40.60705202
Range40.60705202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.27766076
Coefficient of variation (CV)1.960106159
Kurtosis0.1750615123
Mean5.753596918
Median Absolute Deviation (MAD)0
Skewness1.463335488
Sum53416.39379
Variance127.1856322
MonotonicityNot monotonic
2024-06-11T19:36:28.489299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 7358
 
4.9%
28.02431032 1734
 
1.2%
22.2992459 122
 
0.1%
35.67881425 28
 
< 0.1%
24.38962261 23
 
< 0.1%
26.82067026 6
 
< 0.1%
33.75938662 4
 
< 0.1%
23.99959895 4
 
< 0.1%
17.89927045 2
 
< 0.1%
40.60705202 2
 
< 0.1%
(Missing) 140716
93.8%
ValueCountFrequency (%)
0 7358
4.9%
17.89927045 2
 
< 0.1%
22.2992459 122
 
0.1%
23.99959895 4
 
< 0.1%
24.38962261 23
 
< 0.1%
ValueCountFrequency (%)
40.60705202 2
 
< 0.1%
35.67881425 28
 
< 0.1%
33.75938662 4
 
< 0.1%
32.79096055 1
 
< 0.1%
28.02431032 1734
1.2%

bs_day_of_change_tp
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)1.0%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean18.66708186
Minimum13.01132535
Maximum24.15711827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:28.561649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum13.01132535
5-th percentile13.84160798
Q116.14626523
median18.55320686
Q321.14785646
95-th percentile23.67830059
Maximum24.15711827
Range11.14579292
Interquartile range (IQR)5.001591227

Descriptive statistics

Standard deviation3.052146754
Coefficient of variation (CV)0.163504225
Kurtosis-1.085912647
Mean18.66708186
Median Absolute Deviation (MAD)2.406941625
Skewness0.07593918282
Sum173305.188
Variance9.315599808
MonotonicityNot monotonic
2024-06-11T19:36:28.740619image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.76321788 184
 
0.1%
16.61232692 175
 
0.1%
17.05871926 166
 
0.1%
17.34626355 164
 
0.1%
15.49067931 162
 
0.1%
17.48719744 161
 
0.1%
16.30392399 161
 
0.1%
16.14626523 155
 
0.1%
14.23203307 150
 
0.1%
16.45925281 146
 
0.1%
Other values (82) 7660
 
5.1%
(Missing) 140716
93.8%
ValueCountFrequency (%)
13.01132535 5
 
< 0.1%
13.22556513 119
0.1%
13.43521855 104
0.1%
13.64049984 128
0.1%
13.84160798 136
0.1%
ValueCountFrequency (%)
24.15711827 63
< 0.1%
24.0786182 70
< 0.1%
23.99960696 84
0.1%
23.92007719 82
0.1%
23.84002136 66
< 0.1%

bs_count_change_tp
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.1%
Missing140716
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1.584505601
Minimum1.480453014
Maximum8.333535892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:28.796973image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q31.480453014
95-th percentile2.206948961
Maximum8.333535892
Range6.853082878
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3227271089
Coefficient of variation (CV)0.2036768496
Kurtosis38.78961069
Mean1.584505601
Median Absolute Deviation (MAD)0
Skewness4.592999562
Sum14710.55
Variance0.1041527868
MonotonicityNot monotonic
2024-06-11T19:36:28.845376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1.480453014 8198
 
5.5%
2.206948961 904
 
0.6%
2.921812056 136
 
0.1%
3.590290394 31
 
< 0.1%
4.210401996 11
 
< 0.1%
4.786566308 2
 
< 0.1%
5.827795843 1
 
< 0.1%
8.333535892 1
 
< 0.1%
(Missing) 140716
93.8%
ValueCountFrequency (%)
1.480453014 8198
5.5%
2.206948961 904
 
0.6%
2.921812056 136
 
0.1%
3.590290394 31
 
< 0.1%
4.210401996 11
 
< 0.1%
ValueCountFrequency (%)
8.333535892 1
 
< 0.1%
5.827795843 1
 
< 0.1%
4.786566308 2
 
< 0.1%
4.210401996 11
 
< 0.1%
3.590290394 31
< 0.1%

BS_OVERBUNDLE_MB_SUM_M2
Real number (ℝ)

MISSING  ZEROS 

Distinct902
Distinct (%)3.8%
Missing125947
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean8.09230022
Minimum0
Maximum55.66819563
Zeros2421
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:28.904510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.497536115
median5.750474527
Q310.81975628
95-th percentile21.13073652
Maximum55.66819563
Range55.66819563
Interquartile range (IQR)6.322220168

Descriptive statistics

Standard deviation6.364846659
Coefficient of variation (CV)0.7865312069
Kurtosis2.94344043
Mean8.09230022
Median Absolute Deviation (MAD)1.415501889
Skewness1.501676165
Sum194644.0972
Variance40.51127299
MonotonicityNot monotonic
2024-06-11T19:36:28.969712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.497536115 9278
 
6.2%
7.165976416 3134
 
2.1%
0 2421
 
1.6%
9.181785673 1631
 
1.1%
10.81975628 1153
 
0.8%
12.20938997 727
 
0.5%
13.42201696 532
 
0.4%
14.50136545 441
 
0.3%
15.47632245 300
 
0.2%
16.36704634 234
 
0.2%
Other values (892) 4202
 
2.8%
(Missing) 125947
84.0%
ValueCountFrequency (%)
0 2421
1.6%
1.013168994 1
 
< 0.1%
1.106504158 1
 
< 0.1%
1.108772801 1
 
< 0.1%
1.313553618 1
 
< 0.1%
ValueCountFrequency (%)
55.66819563 1
< 0.1%
49.61368001 1
< 0.1%
47.20856569 1
< 0.1%
45.16676235 1
< 0.1%
44.47437107 1
< 0.1%

BS_OVERBUNDLE_MB_CNT_M3
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)1.1%
Missing133521
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean4.249373312
Minimum1.480453014
Maximum81.77419979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.053390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median2.921812056
Q34.786566308
95-th percentile12.1035869
Maximum81.77419979
Range80.29374678
Interquartile range (IQR)3.306113294

Descriptive statistics

Standard deviation4.189834644
Coefficient of variation (CV)0.9859888355
Kurtosis30.85750874
Mean4.249373312
Median Absolute Deviation (MAD)1.441359042
Skewness3.89686073
Sum70025.42281
Variance17.55471434
MonotonicityNot monotonic
2024-06-11T19:36:29.133941image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 4712
 
3.1%
2.206948961 2909
 
1.9%
2.921812056 1920
 
1.3%
3.590290394 1283
 
0.9%
4.210401996 902
 
0.6%
4.786566308 640
 
0.4%
5.324077125 476
 
0.3%
5.827795843 411
 
0.3%
6.30189811 356
 
0.2%
6.749901739 261
 
0.2%
Other values (179) 2609
 
1.7%
(Missing) 133521
89.0%
ValueCountFrequency (%)
1.480453014 4712
3.1%
2.206948961 2909
1.9%
2.921812056 1920
1.3%
3.590290394 1283
 
0.9%
4.210401996 902
 
0.6%
ValueCountFrequency (%)
81.77419979 1
< 0.1%
75.04638472 1
< 0.1%
65.48225056 1
< 0.1%
57.03258461 1
< 0.1%
56.60732758 1
< 0.1%

bs_ovrl_OMO_CNT_M2
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)0.5%
Missing47173
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean8.978194103
Minimum1.480453014
Maximum59.01527372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.212706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q13.590290394
median7.174761058
Q313.01132535
95-th percentile22.20759244
Maximum59.01527372
Range57.53482071
Interquartile range (IQR)9.421034954

Descriptive statistics

Standard deviation6.775378895
Coefficient of variation (CV)0.7546482976
Kurtosis0.9884660111
Mean8.978194103
Median Absolute Deviation (MAD)4.252949002
Skewness1.092570274
Sum923200.765
Variance45.90575917
MonotonicityNot monotonic
2024-06-11T19:36:29.290858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 10853
 
7.2%
2.206948961 7710
 
5.1%
2.921812056 6121
 
4.1%
3.590290394 4969
 
3.3%
4.210401996 4348
 
2.9%
4.786566308 3889
 
2.6%
5.324077125 3334
 
2.2%
5.827795843 3083
 
2.1%
6.30189811 2795
 
1.9%
6.749901739 2512
 
1.7%
Other values (461) 53213
35.5%
(Missing) 47173
31.4%
ValueCountFrequency (%)
1.480453014 10853
7.2%
2.206948961 7710
5.1%
2.921812056 6121
4.1%
3.590290394 4969
3.3%
4.210401996 4348
2.9%
ValueCountFrequency (%)
59.01527372 1
< 0.1%
55.66033919 1
< 0.1%
49.74741184 1
< 0.1%
48.82723082 1
< 0.1%
47.51262321 1
< 0.1%

BS_OVERBUNDLE_MB_CNT_M2
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)1.0%
Missing125947
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean4.738748832
Minimum1.480453014
Maximum81.28538037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.360182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median2.921812056
Q35.827795843
95-th percentile13.64049984
Maximum81.28538037
Range79.80492735
Interquartile range (IQR)4.347342829

Descriptive statistics

Standard deviation4.508581298
Coefficient of variation (CV)0.9514286277
Kurtosis16.00287227
Mean4.738748832
Median Absolute Deviation (MAD)1.441359042
Skewness2.943927925
Sum113981.1256
Variance20.32730532
MonotonicityNot monotonic
2024-06-11T19:36:29.432212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 6096
 
4.1%
2.206948961 4067
 
2.7%
2.921812056 2525
 
1.7%
3.590290394 1785
 
1.2%
4.210401996 1337
 
0.9%
4.786566308 961
 
0.6%
5.324077125 786
 
0.5%
5.827795843 655
 
0.4%
6.30189811 545
 
0.4%
6.749901739 484
 
0.3%
Other values (231) 4812
 
3.2%
(Missing) 125947
84.0%
ValueCountFrequency (%)
1.480453014 6096
4.1%
2.206948961 4067
2.7%
2.921812056 2525
1.7%
3.590290394 1785
 
1.2%
4.210401996 1337
 
0.9%
ValueCountFrequency (%)
81.28538037 1
< 0.1%
67.32160836 1
< 0.1%
58.81168152 1
< 0.1%
52.5534034 1
< 0.1%
49.31382595 1
< 0.1%

bs_ovrl_OMO_SUM_M1
Real number (ℝ)

MISSING  ZEROS 

Distinct5117
Distinct (%)4.8%
Missing42866
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.329600899
Minimum0
Maximum60.95321769
Zeros85943
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.507848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.173528901
Maximum60.95321769
Range60.95321769
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.868861193
Coefficient of variation (CV)2.90979135
Kurtosis20.79002239
Mean1.329600899
Median Absolute Deviation (MAD)0
Skewness4.125064754
Sum142445.4627
Variance14.96808693
MonotonicityNot monotonic
2024-06-11T19:36:29.574884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85943
57.3%
1.148322296 903
 
0.6%
1.335206418 676
 
0.5%
1.334752185 649
 
0.4%
1.109437505 548
 
0.4%
1.438882091 471
 
0.3%
1.773305234 307
 
0.2%
1.604773951 293
 
0.2%
1.14874172 262
 
0.2%
2.118332641 254
 
0.2%
Other values (5107) 16828
 
11.2%
(Missing) 42866
28.6%
ValueCountFrequency (%)
0 85943
57.3%
1.016192359 1
 
< 0.1%
1.018881881 1
 
< 0.1%
1.020964939 1
 
< 0.1%
1.023218957 1
 
< 0.1%
ValueCountFrequency (%)
60.95321769 1
< 0.1%
46.04944803 1
< 0.1%
45.07803587 1
< 0.1%
44.4850367 1
< 0.1%
44.03180737 1
< 0.1%

BS_OVERBUNDLE_MB_SUM_M1
Real number (ℝ)

MISSING  ZEROS 

Distinct927
Distinct (%)3.6%
Missing124378
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean7.896527959
Minimum0
Maximum49.52303628
Zeros2687
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.641752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.497536115
median4.497536115
Q310.81975628
95-th percentile20.56241386
Maximum49.52303628
Range49.52303628
Interquartile range (IQR)6.322220168

Descriptive statistics

Standard deviation6.180532007
Coefficient of variation (CV)0.782689815
Kurtosis2.882848812
Mean7.896527959
Median Absolute Deviation (MAD)2.668440301
Skewness1.483742735
Sum202324.8394
Variance38.19897589
MonotonicityNot monotonic
2024-06-11T19:36:29.715573image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.497536115 10009
 
6.7%
7.165976416 3339
 
2.2%
0 2687
 
1.8%
9.181785673 1810
 
1.2%
10.81975628 1215
 
0.8%
12.20938997 764
 
0.5%
13.42201696 555
 
0.4%
14.50136545 429
 
0.3%
15.47632245 311
 
0.2%
5.750474527 243
 
0.2%
Other values (917) 4260
 
2.8%
(Missing) 124378
82.9%
ValueCountFrequency (%)
0 2687
1.8%
1.090998116 1
 
< 0.1%
1.106834 1
 
< 0.1%
1.136933423 1
 
< 0.1%
1.143421545 1
 
< 0.1%
ValueCountFrequency (%)
49.52303628 1
< 0.1%
49.4592045 1
< 0.1%
48.17831622 1
< 0.1%
47.86153778 1
< 0.1%
47.63198402 1
< 0.1%

bs_ovrl_OMO_SUM_M3
Real number (ℝ)

MISSING  ZEROS 

Distinct2841
Distinct (%)2.7%
Missing45713
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7494586215
Minimum0
Maximum42.28789667
Zeros90765
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.783413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.588388591
Maximum42.28789667
Range42.28789667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.782628669
Coefficient of variation (CV)3.712851637
Kurtosis35.07677149
Mean0.7494586215
Median Absolute Deviation (MAD)0
Skewness5.341556394
Sum78158.79126
Variance7.743022312
MonotonicityNot monotonic
2024-06-11T19:36:29.847289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90765
60.5%
1.148322296 885
 
0.6%
1.335206418 532
 
0.4%
1.334752185 479
 
0.3%
1.438882091 385
 
0.3%
1.109437505 294
 
0.2%
1.604773951 267
 
0.2%
1.14874172 242
 
0.2%
1.773305234 224
 
0.1%
1.147903236 221
 
0.1%
Other values (2831) 9993
 
6.7%
(Missing) 45713
30.5%
ValueCountFrequency (%)
0 90765
60.5%
1.001203482 1
 
< 0.1%
1.002765966 1
 
< 0.1%
1.014807609 1
 
< 0.1%
1.021216128 1
 
< 0.1%
ValueCountFrequency (%)
42.28789667 1
< 0.1%
41.26555775 1
< 0.1%
40.52948463 1
< 0.1%
38.74136783 1
< 0.1%
38.15105146 1
< 0.1%

BS_OVERBUNDLE_MB_CNT_M1
Real number (ℝ)

MISSING 

Distinct250
Distinct (%)1.0%
Missing124378
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean4.804783763
Minimum1.480453014
Maximum80.27308571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:29.911077image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q12.206948961
median2.921812056
Q35.827795843
95-th percentile14.03872817
Maximum80.27308571
Range78.7926327
Interquartile range (IQR)3.620846882

Descriptive statistics

Standard deviation4.628211834
Coefficient of variation (CV)0.9632508063
Kurtosis15.53457675
Mean4.804783763
Median Absolute Deviation (MAD)1.441359042
Skewness2.96321678
Sum123108.1696
Variance21.42034478
MonotonicityNot monotonic
2024-06-11T19:36:29.986861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 6254
 
4.2%
2.206948961 4426
 
3.0%
2.921812056 2783
 
1.9%
3.590290394 1985
 
1.3%
4.210401996 1347
 
0.9%
4.786566308 1048
 
0.7%
5.324077125 862
 
0.6%
5.827795843 639
 
0.4%
6.30189811 570
 
0.4%
6.749901739 509
 
0.3%
Other values (240) 5199
 
3.5%
(Missing) 124378
82.9%
ValueCountFrequency (%)
1.480453014 6254
4.2%
2.206948961 4426
3.0%
2.921812056 2783
1.9%
3.590290394 1985
 
1.3%
4.210401996 1347
 
0.9%
ValueCountFrequency (%)
80.27308571 1
< 0.1%
61.24468521 1
< 0.1%
56.59009718 1
< 0.1%
56.5123463 1
< 0.1%
56.03830979 1
< 0.1%

bs_ovrl_OMO_CNT_M3
Real number (ℝ)

MISSING 

Distinct497
Distinct (%)0.5%
Missing45713
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean9.183973359
Minimum1.480453014
Maximum52.07635258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.059910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q13.590290394
median7.578965206
Q313.22556513
95-th percentile22.74766418
Maximum52.07635258
Range50.59589957
Interquartile range (IQR)9.635274733

Descriptive statistics

Standard deviation6.914626169
Coefficient of variation (CV)0.7529013749
Kurtosis0.9323769408
Mean9.183973359
Median Absolute Deviation (MAD)4.657153151
Skewness1.076436176
Sum957769.0297
Variance47.81205506
MonotonicityNot monotonic
2024-06-11T19:36:30.242828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 10819
 
7.2%
2.206948961 7538
 
5.0%
2.921812056 5975
 
4.0%
3.590290394 5048
 
3.4%
4.210401996 4245
 
2.8%
4.786566308 3760
 
2.5%
5.324077125 3456
 
2.3%
5.827795843 3122
 
2.1%
6.30189811 2839
 
1.9%
6.749901739 2501
 
1.7%
Other values (487) 54984
36.7%
(Missing) 45713
30.5%
ValueCountFrequency (%)
1.480453014 10819
7.2%
2.206948961 7538
5.0%
2.921812056 5975
4.0%
3.590290394 5048
3.4%
4.210401996 4245
 
2.8%
ValueCountFrequency (%)
52.07635258 1
< 0.1%
48.81350332 1
< 0.1%
47.98217564 1
< 0.1%
47.89517624 1
< 0.1%
47.31785947 1
< 0.1%

bs_ovrl_OMO_SUM_M2
Real number (ℝ)

MISSING  ZEROS 

Distinct4286
Distinct (%)4.2%
Missing47173
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean1.143457579
Minimum0
Maximum46.02849646
Zeros84315
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.312937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.084418846
Maximum46.02849646
Range46.02849646
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.489628187
Coefficient of variation (CV)3.051821293
Kurtosis22.68198175
Mean1.143457579
Median Absolute Deviation (MAD)0
Skewness4.312155564
Sum117578.3125
Variance12.17750488
MonotonicityNot monotonic
2024-06-11T19:36:30.376949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84315
56.2%
1.148322296 821
 
0.5%
1.334752185 700
 
0.5%
1.335206418 638
 
0.4%
1.109437505 503
 
0.3%
1.438882091 466
 
0.3%
1.773305234 267
 
0.2%
1.14874172 254
 
0.2%
2.118332641 253
 
0.2%
1.147903236 241
 
0.2%
Other values (4276) 14369
 
9.6%
(Missing) 47173
31.4%
ValueCountFrequency (%)
0 84315
56.2%
1.01689352 1
 
< 0.1%
1.01798113 3
 
< 0.1%
1.021140637 1
 
< 0.1%
1.021190952 1
 
< 0.1%
ValueCountFrequency (%)
46.02849646 1
< 0.1%
44.46718311 1
< 0.1%
43.50160039 1
< 0.1%
42.27709458 1
< 0.1%
40.67835942 1
< 0.1%

bs_ovrl_OMO_CNT_M1
Real number (ℝ)

MISSING 

Distinct505
Distinct (%)0.5%
Missing42866
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean9.620814832
Minimum1.480453014
Maximum54.89738515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.440703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q13.590290394
median7.964623589
Q313.84160798
95-th percentile23.5143809
Maximum54.89738515
Range53.41693214
Interquartile range (IQR)10.25131759

Descriptive statistics

Standard deviation7.119209749
Coefficient of variation (CV)0.7399799157
Kurtosis0.6687581982
Mean9.620814832
Median Absolute Deviation (MAD)5.042811533
Skewness0.996714423
Sum1030716.376
Variance50.68314745
MonotonicityNot monotonic
2024-06-11T19:36:30.509896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.480453014 10448
 
7.0%
2.206948961 7369
 
4.9%
2.921812056 5781
 
3.9%
3.590290394 4845
 
3.2%
4.210401996 4155
 
2.8%
4.786566308 3669
 
2.4%
5.324077125 3333
 
2.2%
5.827795843 2978
 
2.0%
6.30189811 2724
 
1.8%
6.749901739 2591
 
1.7%
Other values (495) 59241
39.5%
(Missing) 42866
28.6%
ValueCountFrequency (%)
1.480453014 10448
7.0%
2.206948961 7369
4.9%
2.921812056 5781
3.9%
3.590290394 4845
3.2%
4.210401996 4155
 
2.8%
ValueCountFrequency (%)
54.89738515 1
< 0.1%
54.15831322 1
< 0.1%
50.83820106 1
< 0.1%
50.08107978 1
< 0.1%
49.47283406 1
< 0.1%

BS_OVERBUNDLE_MB_SUM_M3
Real number (ℝ)

MISSING  ZEROS 

Distinct548
Distinct (%)3.3%
Missing133521
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean6.437014455
Minimum0
Maximum44.38859262
Zeros3002
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.577195image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.497536115
median4.497536115
Q37.165976416
95-th percentile18.66347575
Maximum44.38859262
Range44.38859262
Interquartile range (IQR)2.668440301

Descriptive statistics

Standard deviation5.789110171
Coefficient of variation (CV)0.8993470826
Kurtosis4.346471477
Mean6.437014455
Median Absolute Deviation (MAD)2.668440301
Skewness1.769994787
Sum106075.5612
Variance33.51379657
MonotonicityNot monotonic
2024-06-11T19:36:30.644032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.497536115 7168
 
4.8%
0 3002
 
2.0%
7.165976416 1858
 
1.2%
9.181785673 866
 
0.6%
10.81975628 542
 
0.4%
12.20938997 310
 
0.2%
13.42201696 182
 
0.1%
14.50136545 151
 
0.1%
5.750474527 141
 
0.1%
15.47632245 99
 
0.1%
Other values (538) 2160
 
1.4%
(Missing) 133521
89.0%
ValueCountFrequency (%)
0 3002
2.0%
1.106504158 1
 
< 0.1%
1.333779266 41
 
< 0.1%
1.334752185 2
 
< 0.1%
1.597560915 1
 
< 0.1%
ValueCountFrequency (%)
44.38859262 1
< 0.1%
43.98472088 1
< 0.1%
43.45003216 1
< 0.1%
42.92624327 1
< 0.1%
42.81627202 1
< 0.1%

entertainment
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)16.7%
Missing149994
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean29.12504295
Minimum29.12504295
Maximum29.12504295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.696343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29.12504295
5-th percentile29.12504295
Q129.12504295
median29.12504295
Q329.12504295
95-th percentile29.12504295
Maximum29.12504295
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.891802844 × 10-15
Coefficient of variation (CV)1.33623935 × 10-16
Kurtosis0
Mean29.12504295
Median Absolute Deviation (MAD)0
Skewness0
Sum174.7502577
Variance1.514612938 × 10-29
MonotonicityIncreasing
2024-06-11T19:36:30.749196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
29.12504295 6
 
< 0.1%
(Missing) 149994
> 99.9%
ValueCountFrequency (%)
29.12504295 6
< 0.1%
ValueCountFrequency (%)
29.12504295 6
< 0.1%

Food
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)18.2%
Missing149989
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean29.83436392
Minimum29.12504295
Maximum36.92757359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.796151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29.12504295
5-th percentile29.12504295
Q129.12504295
median29.12504295
Q329.12504295
95-th percentile33.02630827
Maximum36.92757359
Range7.802530644
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.352551506
Coefficient of variation (CV)0.07885375107
Kurtosis11
Mean29.83436392
Median Absolute Deviation (MAD)0
Skewness3.31662479
Sum328.1780031
Variance5.534498587
MonotonicityDecreasing
2024-06-11T19:36:30.845983image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
29.12504295 10
 
< 0.1%
36.92757359 1
 
< 0.1%
(Missing) 149989
> 99.9%
ValueCountFrequency (%)
29.12504295 10
< 0.1%
36.92757359 1
 
< 0.1%
ValueCountFrequency (%)
36.92757359 1
 
< 0.1%
29.12504295 10
< 0.1%

Shops
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)2.9%
Missing149475
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean32.51664515
Minimum22.29933738
Maximum57.19147541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:30.898160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum22.29933738
5-th percentile22.29933738
Q129.12504295
median31.53063018
Q336.92757359
95-th percentile45.7007366
Maximum57.19147541
Range34.89213802
Interquartile range (IQR)7.802530644

Descriptive statistics

Standard deviation6.260622724
Coefficient of variation (CV)0.1925359365
Kurtosis1.147549181
Mean32.51664515
Median Absolute Deviation (MAD)2.405587235
Skewness0.6368563676
Sum17071.2387
Variance39.19539689
MonotonicityNot monotonic
2024-06-11T19:36:30.951988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
29.12504295 147
 
0.1%
36.92757359 133
 
0.1%
31.53063018 119
 
0.1%
22.29933738 65
 
< 0.1%
45.7007366 20
 
< 0.1%
39.64619142 16
 
< 0.1%
41.94201714 12
 
< 0.1%
55.44054622 3
 
< 0.1%
35.34881516 2
 
< 0.1%
48.7308926 2
 
< 0.1%
Other values (5) 6
 
< 0.1%
(Missing) 149475
99.7%
ValueCountFrequency (%)
22.29933738 65
< 0.1%
29.12504295 147
0.1%
31.53063018 119
0.1%
33.57110757 1
 
< 0.1%
35.34881516 2
 
< 0.1%
ValueCountFrequency (%)
57.19147541 1
 
< 0.1%
55.44054622 3
< 0.1%
53.48917801 1
 
< 0.1%
51.2810021 2
< 0.1%
48.7308926 2
< 0.1%

Internet
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)0.1%
Missing133810
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean38.92194449
Minimum29.12504295
Maximum71.38517115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.010694image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29.12504295
5-th percentile29.12504295
Q129.12504295
median36.92757359
Q348.7308926
95-th percentile53.48917801
Maximum71.38517115
Range42.2601282
Interquartile range (IQR)19.60584965

Descriptive statistics

Standard deviation10.07324551
Coefficient of variation (CV)0.2588063274
Kurtosis-1.167927452
Mean38.92194449
Median Absolute Deviation (MAD)7.802530644
Skewness0.466700491
Sum630146.2812
Variance101.470275
MonotonicityNot monotonic
2024-06-11T19:36:31.067736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
29.12504295 7014
 
4.7%
48.7308926 2511
 
1.7%
36.92757359 2407
 
1.6%
51.2810021 1449
 
1.0%
41.94201714 1010
 
0.7%
53.48917801 618
 
0.4%
45.7007366 374
 
0.2%
58.78131745 227
 
0.2%
60.23868416 184
 
0.1%
55.44054622 183
 
0.1%
Other values (12) 213
 
0.1%
(Missing) 133810
89.2%
ValueCountFrequency (%)
29.12504295 7014
4.7%
36.92757359 2407
 
1.6%
41.94201714 1010
 
0.7%
45.7007366 374
 
0.2%
48.7308926 2511
 
1.7%
ValueCountFrequency (%)
71.38517115 1
 
< 0.1%
70.60694836 1
 
< 0.1%
69.795406 1
 
< 0.1%
68.94736997 1
 
< 0.1%
68.05917829 3
< 0.1%

Cars
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)4.5%
Missing149934
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean37.67675663
Minimum36.92757359
Maximum51.2810021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.115506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36.92757359
5-th percentile36.92757359
Q136.92757359
median36.92757359
Q336.92757359
95-th percentile45.7007366
Maximum51.2810021
Range14.35342851
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.708534381
Coefficient of variation (CV)0.07188873521
Kurtosis12.79932973
Mean37.67675663
Median Absolute Deviation (MAD)0
Skewness3.639839798
Sum2486.665938
Variance7.336158494
MonotonicityNot monotonic
2024-06-11T19:36:31.161784image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
36.92757359 61
 
< 0.1%
45.7007366 4
 
< 0.1%
51.2810021 1
 
< 0.1%
(Missing) 149934
> 99.9%
ValueCountFrequency (%)
36.92757359 61
< 0.1%
45.7007366 4
 
< 0.1%
51.2810021 1
 
< 0.1%
ValueCountFrequency (%)
51.2810021 1
 
< 0.1%
45.7007366 4
 
< 0.1%
36.92757359 61
< 0.1%

Good_deed
Real number (ℝ)

MISSING 

Distinct543
Distinct (%)4.4%
Missing137648
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean32.89789857
Minimum4.210401996
Maximum74.41193323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.222315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.210401996
5-th percentile6.749901739
Q119.75525126
median35.18084635
Q343.93535961
95-th percentile57.92492855
Maximum74.41193323
Range70.20153123
Interquartile range (IQR)24.18010834

Descriptive statistics

Standard deviation15.1052122
Coefficient of variation (CV)0.4591543185
Kurtosis-0.6185827288
Mean32.89789857
Median Absolute Deviation (MAD)10.51989025
Skewness0.05717261565
Sum406354.8432
Variance228.1674355
MonotonicityNot monotonic
2024-06-11T19:36:31.292812image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.92757359 1775
 
1.2%
29.12504295 1321
 
0.9%
16.45925281 1304
 
0.9%
45.7007366 615
 
0.4%
6.749901739 498
 
0.3%
10.26911687 390
 
0.3%
22.29933738 336
 
0.2%
51.2810021 305
 
0.2%
41.94201714 266
 
0.2%
4.210401996 259
 
0.2%
Other values (533) 5283
 
3.5%
(Missing) 137648
91.8%
ValueCountFrequency (%)
4.210401996 259
0.2%
6.749901739 498
0.3%
8.687248223 62
 
< 0.1%
10.26911687 390
0.3%
11.61519305 30
 
< 0.1%
ValueCountFrequency (%)
74.41193323 1
< 0.1%
73.40925207 1
< 0.1%
73.06311178 1
< 0.1%
73.02815308 1
< 0.1%
72.95804454 1
< 0.1%

Minutes
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.5%
Missing144733
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean39.42380795
Minimum29.12504295
Maximum83.90268141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.353416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29.12504295
5-th percentile29.12504295
Q129.12504295
median36.92757359
Q345.7007366
95-th percentile55.44054622
Maximum83.90268141
Range54.77763846
Interquartile range (IQR)16.57569366

Descriptive statistics

Standard deviation9.421139634
Coefficient of variation (CV)0.238970818
Kurtosis-0.2017385735
Mean39.42380795
Median Absolute Deviation (MAD)7.802530644
Skewness0.6303210491
Sum207645.1965
Variance88.75787201
MonotonicityNot monotonic
2024-06-11T19:36:31.411579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
29.12504295 1735
 
1.2%
36.92757359 1281
 
0.9%
45.7007366 1054
 
0.7%
41.94201714 277
 
0.2%
48.7308926 252
 
0.2%
55.44054622 190
 
0.1%
51.2810021 152
 
0.1%
58.78131745 86
 
0.1%
53.48917801 79
 
0.1%
61.58506093 41
 
< 0.1%
Other values (16) 120
 
0.1%
(Missing) 144733
96.5%
ValueCountFrequency (%)
29.12504295 1735
1.2%
36.92757359 1281
0.9%
41.94201714 277
 
0.2%
45.7007366 1054
0.7%
48.7308926 252
 
0.2%
ValueCountFrequency (%)
83.90268141 1
< 0.1%
80.37688102 1
< 0.1%
74.86266973 1
< 0.1%
72.85240016 2
< 0.1%
71.38517115 1
< 0.1%

AMA
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)0.5%
Missing146585
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean46.0501132
Minimum39.64619142
Maximum100.0487796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.466956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum39.64619142
5-th percentile39.64619142
Q139.64619142
median39.64619142
Q348.7308926
95-th percentile62.22195413
Maximum100.0487796
Range60.40258815
Interquartile range (IQR)9.084701185

Descriptive statistics

Standard deviation8.992867621
Coefficient of variation (CV)0.195284376
Kurtosis0.8023441214
Mean46.0501132
Median Absolute Deviation (MAD)0
Skewness1.192763383
Sum157261.1366
Variance80.87166806
MonotonicityNot monotonic
2024-06-11T19:36:31.520376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
39.64619142 2066
 
1.4%
48.7308926 503
 
0.3%
58.78131745 466
 
0.3%
54.49294059 146
 
0.1%
62.22195413 93
 
0.1%
69.795406 60
 
< 0.1%
65.10725843 51
 
< 0.1%
67.59872064 19
 
< 0.1%
71.76266719 3
 
< 0.1%
76.68445648 2
 
< 0.1%
Other values (6) 6
 
< 0.1%
(Missing) 146585
97.7%
ValueCountFrequency (%)
39.64619142 2066
1.4%
48.7308926 503
 
0.3%
54.49294059 146
 
0.1%
58.78131745 466
 
0.3%
62.22195413 93
 
0.1%
ValueCountFrequency (%)
100.0487796 1
< 0.1%
98.57925062 1
< 0.1%
94.71026999 1
< 0.1%
89.22366349 1
< 0.1%
88.42603933 1
< 0.1%

day_end_gba
Real number (ℝ)

MISSING 

Distinct364
Distinct (%)3.2%
Missing138497
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean26.29066657
Minimum1.480453014
Maximum35.80878878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.583490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile11.10002615
Q121.83327441
median27.9089715
Q331.9211802
95-th percentile35.38217056
Maximum35.80878878
Range34.32833577
Interquartile range (IQR)10.08790579

Descriptive statistics

Standard deviation7.401214728
Coefficient of variation (CV)0.2815149137
Kurtosis0.457412352
Mean26.29066657
Median Absolute Deviation (MAD)5.160149901
Skewness-0.9185110372
Sum302421.5375
Variance54.77797945
MonotonicityNot monotonic
2024-06-11T19:36:31.651098image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.80878878 65
 
< 0.1%
29.89361796 61
 
< 0.1%
28.02437138 61
 
< 0.1%
30.666948 61
 
< 0.1%
28.0816856 58
 
< 0.1%
18.2963085 57
 
< 0.1%
27.49669939 56
 
< 0.1%
30.52533481 56
 
< 0.1%
29.64238548 55
 
< 0.1%
34.55900667 54
 
< 0.1%
Other values (354) 10919
 
7.3%
(Missing) 138497
92.3%
ValueCountFrequency (%)
1.480453014 22
< 0.1%
2.206948961 23
< 0.1%
2.921812056 27
< 0.1%
3.590290394 22
< 0.1%
4.210401996 23
< 0.1%
ValueCountFrequency (%)
35.80878878 65
< 0.1%
35.77642374 45
< 0.1%
35.74398477 40
< 0.1%
35.71147152 39
< 0.1%
35.67888361 54
< 0.1%

active_gba
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing138497
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.705880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum11503
Variance0
MonotonicityIncreasing
2024-06-11T19:36:31.753951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 11503
 
7.7%
(Missing) 138497
92.3%
ValueCountFrequency (%)
1 11503
7.7%
ValueCountFrequency (%)
1 11503
7.7%

bs_of_succ_m1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_drop_call_rate
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_succ_rate
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_drop_rate
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_of_recall_m1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_of_attemps_all_m1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_of_unsucc_low_balance_m1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_recall_rate
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_of_unsucc_attemp_equip_m1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

bs_of_succ_but_drop_m1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150000
Missing (%)100.0%
Memory size1.1 MiB

MV_Traf_Cont_out_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct2673
Distinct (%)1.8%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.7657436682
Minimum0
Maximum49.7769896
Zeros121775
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:31.815988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.315408097
Maximum49.7769896
Range49.7769896
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.375486439
Coefficient of variation (CV)3.10219534
Kurtosis30.57912665
Mean0.7657436682
Median Absolute Deviation (MAD)0
Skewness4.754000237
Sum113549.8313
Variance5.642935824
MonotonicityNot monotonic
2024-06-11T19:36:31.888353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 121775
81.2%
1.00908403 1088
 
0.7%
1.012176694 853
 
0.6%
1.03324115 395
 
0.3%
1.038461046 366
 
0.2%
1.043982701 318
 
0.2%
1.006406835 274
 
0.2%
1.068835007 194
 
0.1%
1.000273218 189
 
0.1%
1.023762432 175
 
0.1%
Other values (2663) 22660
 
15.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 121775
81.2%
1.000273218 189
 
0.1%
1.001075172 93
 
0.1%
1.00238048 75
 
0.1%
1.004165221 111
 
0.1%
ValueCountFrequency (%)
49.7769896 1
< 0.1%
43.27294854 1
< 0.1%
41.48776095 1
< 0.1%
38.771659 1
< 0.1%
38.70126958 1
< 0.1%

MV_ot_mn_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct584
Distinct (%)0.5%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.1815088616
Minimum0
Maximum17.18935823
Zeros91728
Zeros (%)61.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.062167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.228104906
Maximum17.18935823
Range17.18935823
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4463500294
Coefficient of variation (CV)2.459108749
Kurtosis99.34363993
Mean0.1815088616
Median Absolute Deviation (MAD)0
Skewness4.735989786
Sum19702.78692
Variance0.1992283487
MonotonicityNot monotonic
2024-06-11T19:36:32.132102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91728
61.2%
1.228104906 6138
 
4.1%
1.078403842 3788
 
2.5%
1.158896555 1196
 
0.8%
1.001554506 1174
 
0.8%
1.224944945 888
 
0.6%
1.127959048 622
 
0.4%
1.248519049 201
 
0.1%
1.639188125 198
 
0.1%
1.071314534 144
 
0.1%
Other values (574) 2473
 
1.6%
(Missing) 41450
27.6%
ValueCountFrequency (%)
0 91728
61.2%
1 1
 
< 0.1%
1.000000001 32
 
< 0.1%
1.000000002 23
 
< 0.1%
1.000000002 2
 
< 0.1%
ValueCountFrequency (%)
17.18935823 3
< 0.1%
12.35334808 1
 
< 0.1%
12.21033147 7
< 0.1%
5.7508689 1
 
< 0.1%
4.714048971 2
 
< 0.1%

MV_dou_Roam_v
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.0169666349
Minimum0
Maximum12.33868121
Zeros147505
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.196740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12.33868121
Range12.33868121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2838780631
Coefficient of variation (CV)16.73154781
Kurtosis621.404592
Mean0.0169666349
Median Absolute Deviation (MAD)0
Skewness22.68534202
Sum2515.93139
Variance0.08058675472
MonotonicityNot monotonic
2024-06-11T19:36:32.276993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 147505
98.3%
1.480453014 300
 
0.2%
2.206948961 129
 
0.1%
2.921812056 83
 
0.1%
3.590290394 57
 
< 0.1%
4.210401996 43
 
< 0.1%
4.786566308 33
 
< 0.1%
5.324077125 24
 
< 0.1%
6.30189811 21
 
< 0.1%
6.749901739 18
 
< 0.1%
Other values (16) 74
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 147505
98.3%
1.480453014 300
 
0.2%
2.206948961 129
 
0.1%
2.921812056 83
 
0.1%
3.590290394 57
 
< 0.1%
ValueCountFrequency (%)
12.33868121 2
< 0.1%
11.86254065 3
< 0.1%
11.36116158 2
< 0.1%
11.10002615 1
 
< 0.1%
10.83132398 1
 
< 0.1%

MV_ap_innet_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct1134
Distinct (%)1.5%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.065844608
Minimum0
Maximum5.984584279
Zeros1959
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.348451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.000261606
Q11.002928785
median1.023826283
Q31.062779037
95-th percentile1.50866855
Maximum5.984584279
Range5.984584279
Interquartile range (IQR)0.05985025186

Descriptive statistics

Standard deviation0.2480412064
Coefficient of variation (CV)0.232717982
Kurtosis15.02556175
Mean1.065844608
Median Absolute Deviation (MAD)0.02193173752
Skewness-0.3895211133
Sum81164.06694
Variance0.06152444008
MonotonicityNot monotonic
2024-06-11T19:36:32.416330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.023826283 9280
 
6.2%
1.002928785 9278
 
6.2%
1.062779037 5644
 
3.8%
1.50866855 5250
 
3.5%
1.035014673 5060
 
3.4%
1.052317705 3703
 
2.5%
1.252829683 3258
 
2.2%
1.197905354 2912
 
1.9%
1.047689752 2591
 
1.7%
1.000585811 2448
 
1.6%
Other values (1124) 26726
 
17.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 1959
1.3%
1 23
 
< 0.1%
1 68
 
< 0.1%
1 1
 
< 0.1%
1 14
 
< 0.1%
ValueCountFrequency (%)
5.984584279 1
< 0.1%
4.34487957 1
< 0.1%
4.330542392 2
< 0.1%
3.9027454 1
< 0.1%
3.694023475 1
< 0.1%

MV_ap_s
Real number (ℝ)

MISSING  ZEROS 

Distinct298
Distinct (%)0.4%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0.2557149614
Minimum0
Maximum1.275127326
Zeros56828
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.493939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000388493
95-th percentile1.006837963
Maximum1.275127326
Range1.275127326
Interquartile range (IQR)1.000388493

Descriptive statistics

Standard deviation0.4385959308
Coefficient of variation (CV)1.715175086
Kurtosis-0.7154288007
Mean0.2557149614
Median Absolute Deviation (MAD)0
Skewness1.132739608
Sum19472.69431
Variance0.1923663905
MonotonicityNot monotonic
2024-06-11T19:36:32.569353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56828
37.9%
1.006542972 5253
 
3.5%
1.006837963 3267
 
2.2%
1.004586158 2916
 
1.9%
1.003913069 2600
 
1.7%
1.003652953 1290
 
0.9%
1.024249071 555
 
0.4%
1.004663896 413
 
0.3%
1.01719918 346
 
0.2%
1.005261454 280
 
0.2%
Other values (288) 2402
 
1.6%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 56828
37.9%
1 8
 
< 0.1%
1 4
 
< 0.1%
1 7
 
< 0.1%
1 5
 
< 0.1%
ValueCountFrequency (%)
1.275127326 1
 
< 0.1%
1.265448239 1
 
< 0.1%
1.12357847 2
 
< 0.1%
1.117512979 227
0.2%
1.107171269 1
 
< 0.1%

MV_dou_out_s
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.5599145533
Minimum0
Maximum13.01132535
Zeros114376
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.637147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.921812056
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.316759706
Coefficient of variation (CV)2.351715451
Kurtosis18.99964094
Mean0.5599145533
Median Absolute Deviation (MAD)0
Skewness3.709328041
Sum83028.04936
Variance1.733856124
MonotonicityNot monotonic
2024-06-11T19:36:32.703292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 114376
76.3%
1.480453014 18604
 
12.4%
2.206948961 6306
 
4.2%
2.921812056 2950
 
2.0%
3.590290394 1707
 
1.1%
4.210401996 1039
 
0.7%
4.786566308 754
 
0.5%
5.324077125 482
 
0.3%
5.827795843 363
 
0.2%
6.30189811 295
 
0.2%
Other values (22) 1411
 
0.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 114376
76.3%
1.480453014 18604
 
12.4%
2.206948961 6306
 
4.2%
2.921812056 2950
 
2.0%
3.590290394 1707
 
1.1%
ValueCountFrequency (%)
13.01132535 33
< 0.1%
12.79226812 13
 
< 0.1%
12.56814363 18
< 0.1%
12.33868121 24
< 0.1%
12.1035869 17
< 0.1%

MV_ot_omo_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct997
Distinct (%)0.9%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.7650887791
Minimum0
Maximum15.21942841
Zeros80176
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.770157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.246168599
95-th percentile3.497123879
Maximum15.21942841
Range15.21942841
Interquartile range (IQR)1.246168599

Descriptive statistics

Standard deviation1.366456667
Coefficient of variation (CV)1.786010597
Kurtosis1.442447884
Mean0.7650887791
Median Absolute Deviation (MAD)0
Skewness1.53464717
Sum83050.38697
Variance1.867203824
MonotonicityNot monotonic
2024-06-11T19:36:32.839763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80176
53.5%
3.497123879 6111
 
4.1%
2.187984624 4094
 
2.7%
2.807845806 3788
 
2.5%
2.616325717 3134
 
2.1%
2.980455215 1192
 
0.8%
4.067549536 1191
 
0.8%
1.246168599 911
 
0.6%
2.882981386 887
 
0.6%
2.879206217 622
 
0.4%
Other values (987) 6444
 
4.3%
(Missing) 41450
27.6%
ValueCountFrequency (%)
0 80176
53.5%
1.000000048 1
 
< 0.1%
1.000000055 2
 
< 0.1%
1.00000008 32
 
< 0.1%
1.000000087 21
 
< 0.1%
ValueCountFrequency (%)
15.21942841 1
< 0.1%
11.13608201 1
< 0.1%
10.32682107 1
< 0.1%
10.05826123 2
< 0.1%
10.05800484 2
< 0.1%

MV_ARPU_omo_out_s_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct275
Distinct (%)0.2%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.1854956705
Minimum0
Maximum68.48537847
Zeros135852
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:32.909096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.604773951
Maximum68.48537847
Range68.48537847
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7936866729
Coefficient of variation (CV)4.278734219
Kurtosis614.103139
Mean0.1854956705
Median Absolute Deviation (MAD)0
Skewness13.88120767
Sum27506.5965
Variance0.6299385347
MonotonicityNot monotonic
2024-06-11T19:36:32.981710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135852
90.6%
1.604773951 4700
 
3.1%
1.604273725 3245
 
2.2%
2.46360592 1020
 
0.7%
2.462595556 820
 
0.5%
3.281747174 374
 
0.2%
3.280346311 322
 
0.2%
1.021216128 182
 
0.1%
4.032641655 168
 
0.1%
1.335206418 156
 
0.1%
Other values (265) 1448
 
1.0%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 135852
90.6%
1.016372063 1
 
< 0.1%
1.021216128 182
 
0.1%
1.074404269 77
 
0.1%
1.107731012 1
 
< 0.1%
ValueCountFrequency (%)
68.48537847 1
< 0.1%
46.70677226 1
< 0.1%
38.69974896 1
< 0.1%
35.71473271 1
< 0.1%
27.6573118 1
< 0.1%

MV_Traf_innet_out_s_Cnt
Real number (ℝ)

MISSING  ZEROS 

Distinct282
Distinct (%)0.2%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.6097999627
Minimum0
Maximum63.78518546
Zeros125468
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.054517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.590290394
Maximum63.78518546
Range63.78518546
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.292013713
Coefficient of variation (CV)3.758632098
Kurtosis90.19083815
Mean0.6097999627
Median Absolute Deviation (MAD)0
Skewness7.789038571
Sum90425.40708
Variance5.253326863
MonotonicityNot monotonic
2024-06-11T19:36:33.125218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 125468
83.6%
1.480453014 8848
 
5.9%
2.206948961 3975
 
2.6%
2.921812056 2230
 
1.5%
3.590290394 1472
 
1.0%
4.210401996 944
 
0.6%
4.786566308 739
 
0.5%
5.324077125 551
 
0.4%
5.827795843 412
 
0.3%
6.30189811 335
 
0.2%
Other values (272) 3313
 
2.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 125468
83.6%
1.480453014 8848
 
5.9%
2.206948961 3975
 
2.6%
2.921812056 2230
 
1.5%
3.590290394 1472
 
1.0%
ValueCountFrequency (%)
63.78518546 1
< 0.1%
55.52330032 1
< 0.1%
55.44976095 1
< 0.1%
52.16614769 1
< 0.1%
49.99191488 1
< 0.1%

MV_ARPU_R_out_v_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct42
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.01217128313
Minimum0
Maximum55.72728241
Zeros148174
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.189595image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55.72728241
Range55.72728241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.517816048
Coefficient of variation (CV)42.54408039
Kurtosis4027.97581
Mean0.01217128313
Median Absolute Deviation (MAD)0
Skewness56.9130479
Sum1804.843061
Variance0.2681334595
MonotonicityNot monotonic
2024-06-11T19:36:33.254891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 148174
98.8%
7.485597097 35
 
< 0.1%
12.21033147 11
 
< 0.1%
11.23918336 10
 
< 0.1%
14.64753823 8
 
< 0.1%
13.89998703 3
 
< 0.1%
15.9956774 3
 
< 0.1%
14.64753823 3
 
< 0.1%
27.58908547 2
 
< 0.1%
18.76280413 2
 
< 0.1%
Other values (32) 36
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148174
98.8%
7.485597097 35
 
< 0.1%
10.1546768 1
 
< 0.1%
11.23918336 10
 
< 0.1%
12.21033147 11
 
< 0.1%
ValueCountFrequency (%)
55.72728241 1
< 0.1%
54.96405463 1
< 0.1%
47.19859264 1
< 0.1%
36.45081365 1
< 0.1%
35.9576091 1
< 0.1%

MV_ARPU_mn_out_v_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct177
Distinct (%)0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2106096607
Minimum0
Maximum48.12416573
Zeros145844
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.324483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48.12416573
Range48.12416573
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.80238333
Coefficient of variation (CV)8.557932834
Kurtosis136.8012636
Mean0.2106096607
Median Absolute Deviation (MAD)0
Skewness10.62182781
Sum31230.67475
Variance3.24858567
MonotonicityNot monotonic
2024-06-11T19:36:33.397106image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145844
97.2%
8.921905742 1153
 
0.8%
10.1546768 296
 
0.2%
13.09170143 237
 
0.2%
15.99569352 127
 
0.1%
18.26314321 61
 
< 0.1%
14.64751986 44
 
< 0.1%
14.64753823 36
 
< 0.1%
21.7490829 35
 
< 0.1%
20.13970639 30
 
< 0.1%
Other values (167) 424
 
0.3%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 145844
97.2%
1.109437505 5
 
< 0.1%
1.335206418 1
 
< 0.1%
1.604702487 1
 
< 0.1%
1.889856529 1
 
< 0.1%
ValueCountFrequency (%)
48.12416573 1
< 0.1%
46.21596167 1
< 0.1%
43.75099798 1
< 0.1%
42.19049913 1
< 0.1%
42.108103 1
< 0.1%

MV_ARPU_omo_out_v_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct5122
Distinct (%)3.5%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.9622829931
Minimum0
Maximum60.95321769
Zeros127068
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.569817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.900040816
Maximum60.95321769
Range60.95321769
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.345070782
Coefficient of variation (CV)3.476181961
Kurtosis29.91299345
Mean0.9622829931
Median Absolute Deviation (MAD)0
Skewness4.933609742
Sum142694.0582
Variance11.18949854
MonotonicityNot monotonic
2024-06-11T19:36:33.635988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127068
84.7%
1.148322296 904
 
0.6%
1.335206418 677
 
0.5%
1.334752185 653
 
0.4%
1.109437505 549
 
0.4%
1.438882091 471
 
0.3%
1.773305234 307
 
0.2%
1.604773951 294
 
0.2%
1.14874172 261
 
0.2%
2.118332641 253
 
0.2%
Other values (5112) 16850
 
11.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 127068
84.7%
1.016192359 1
 
< 0.1%
1.018881881 1
 
< 0.1%
1.020964939 1
 
< 0.1%
1.023218957 1
 
< 0.1%
ValueCountFrequency (%)
60.95321769 1
< 0.1%
46.04944803 1
< 0.1%
45.07803587 1
< 0.1%
44.4850367 1
< 0.1%
44.03180737 1
< 0.1%

MV_Traf_Other_out_v_Min
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros148287
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.689487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:33.733780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 148287
98.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148287
98.9%
ValueCountFrequency (%)
0 148287
98.9%

MV_ap_omo_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct1156
Distinct (%)1.5%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.491058314
Minimum0
Maximum19.56367382
Zeros2194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.792060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.87071205
Q12.35663999
median3.473922655
Q33.84403591
95-th percentile6.378286166
Maximum19.56367382
Range19.56367382
Interquartile range (IQR)1.48739592

Descriptive statistics

Standard deviation1.454454637
Coefficient of variation (CV)0.416622842
Kurtosis3.620966371
Mean3.491058314
Median Absolute Deviation (MAD)0.6940376629
Skewness1.003570341
Sum265844.0906
Variance2.11543829
MonotonicityNot monotonic
2024-06-11T19:36:33.863001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.352392065 9279
 
6.2%
3.473922655 5644
 
3.8%
3.497123879 5060
 
3.4%
3.753775807 4731
 
3.2%
3.753775807 4549
 
3.0%
4.294244217 3258
 
2.2%
6.378286166 3062
 
2.0%
4.823322403 2912
 
1.9%
3.34088189 2591
 
1.7%
2.187984624 2448
 
1.6%
Other values (1146) 32616
21.7%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 2194
1.5%
1.000000048 68
 
< 0.1%
1.000000049 14
 
< 0.1%
1.000000055 3
 
< 0.1%
1.000000074 5
 
< 0.1%
ValueCountFrequency (%)
19.56367382 1
< 0.1%
15.79628489 2
< 0.1%
14.99308519 1
< 0.1%
14.71690066 1
< 0.1%
14.16800271 1
< 0.1%

MV_Traf_R_out_v_Min
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct477
Distinct (%)0.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.03723734641
Minimum0
Maximum47.7899062
Zeros147684
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:33.932894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum47.7899062
Range47.7899062
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8205050012
Coefficient of variation (CV)22.03446487
Kurtosis975.4554168
Mean0.03723734641
Median Absolute Deviation (MAD)0
Skewness29.06385706
Sum5521.814387
Variance0.6732284571
MonotonicityNot monotonic
2024-06-11T19:36:34.001839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147684
98.5%
1.146683065 5
 
< 0.1%
1.281566341 5
 
< 0.1%
1.055879654 5
 
< 0.1%
1.07568182 5
 
< 0.1%
1.550471024 5
 
< 0.1%
1.012176694 5
 
< 0.1%
1.515293969 4
 
< 0.1%
1.121317553 4
 
< 0.1%
1.192067384 4
 
< 0.1%
Other values (467) 561
 
0.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 147684
98.5%
1.000273218 4
 
< 0.1%
1.001075172 3
 
< 0.1%
1.004165221 2
 
< 0.1%
1.006406835 1
 
< 0.1%
ValueCountFrequency (%)
47.7899062 1
< 0.1%
43.55494917 1
< 0.1%
39.37318626 1
< 0.1%
36.18943476 1
< 0.1%
35.72394374 1
< 0.1%

MV_Traf_3G_d_Mb
Real number (ℝ)

MISSING  ZEROS 

Distinct92877
Distinct (%)62.6%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean29.47604176
Minimum0
Maximum166.4879868
Zeros52017
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.069221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18.03584643
Q354.95558497
95-th percentile89.78690978
Maximum166.4879868
Range166.4879868
Interquartile range (IQR)54.95558497

Descriptive statistics

Standard deviation32.54400476
Coefficient of variation (CV)1.104083276
Kurtosis-0.56970944
Mean29.47604176
Median Absolute Deviation (MAD)18.03584643
Skewness0.7564414831
Sum4370913.805
Variance1059.112246
MonotonicityNot monotonic
2024-06-11T19:36:34.140345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52017
34.7%
1.000000953 216
 
0.1%
1.008681995 138
 
0.1%
1.000003807 124
 
0.1%
1.000008558 86
 
0.1%
1.000023726 73
 
< 0.1%
1.000015199 71
 
< 0.1%
1.000034132 58
 
< 0.1%
1.000046413 53
 
< 0.1%
1.031829292 50
 
< 0.1%
Other values (92867) 95401
63.6%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 52017
34.7%
1.000000001 1
 
< 0.1%
1.000000002 16
 
< 0.1%
1.000000003 4
 
< 0.1%
1.000000006 2
 
< 0.1%
ValueCountFrequency (%)
166.4879868 1
< 0.1%
166.0305268 1
< 0.1%
165.5773844 1
< 0.1%
164.5828745 1
< 0.1%
162.5663204 1
< 0.1%

MV_Traf_2G_d_Mb
Real number (ℝ)

MISSING  ZEROS 

Distinct84147
Distinct (%)56.7%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean18.45412575
Minimum0
Maximum137.8788356
Zeros58823
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.209193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.397093672
Q335.38594728
95-th percentile69.10707971
Maximum137.8788356
Range137.8788356
Interquartile range (IQR)35.38594728

Descriptive statistics

Standard deviation24.79452495
Coefficient of variation (CV)1.343576243
Kurtosis0.3929446297
Mean18.45412575
Median Absolute Deviation (MAD)1.397093672
Skewness1.195293689
Sum2736506.945
Variance614.7684677
MonotonicityNot monotonic
2024-06-11T19:36:34.278152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58823
39.2%
1.008681995 621
 
0.4%
1.000000953 523
 
0.3%
1.000003807 192
 
0.1%
1.000008558 141
 
0.1%
1.000015199 98
 
0.1%
1.031829292 93
 
0.1%
1.000034132 93
 
0.1%
1.000023726 87
 
0.1%
1.000046413 73
 
< 0.1%
Other values (84137) 87543
58.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 58823
39.2%
1.000000001 3
 
< 0.1%
1.000000002 2
 
< 0.1%
1.000000002 9
 
< 0.1%
1.000000003 1
 
< 0.1%
ValueCountFrequency (%)
137.8788356 1
< 0.1%
136.5224331 1
< 0.1%
135.0759021 1
< 0.1%
135.037553 1
< 0.1%
134.7532064 1
< 0.1%

MV_ARPU_R_out_s_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.001923095788
Minimum0
Maximum24.63573343
Zeros148206
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.338355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24.63573343
Range24.63573343
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1195635603
Coefficient of variation (CV)62.17244148
Kurtosis16471.16694
Mean0.001923095788
Median Absolute Deviation (MAD)0
Skewness109.2006731
Sum285.1701051
Variance0.01429544496
MonotonicityNot monotonic
2024-06-11T19:36:34.392895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 148206
98.8%
1.604845415 52
 
< 0.1%
7.485597097 11
 
< 0.1%
2.463750252 7
 
< 0.1%
7.942426538 2
 
< 0.1%
8.375929449 2
 
< 0.1%
3.28194728 2
 
< 0.1%
8.788616082 1
 
< 0.1%
15.9956774 1
 
< 0.1%
24.63573343 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148206
98.8%
1.604845415 52
 
< 0.1%
2.463750252 7
 
< 0.1%
3.28194728 2
 
< 0.1%
4.720971394 1
 
< 0.1%
ValueCountFrequency (%)
24.63573343 1
< 0.1%
15.9956774 1
< 0.1%
8.788718847 1
< 0.1%
8.788616082 1
< 0.1%
8.375929449 2
< 0.1%

MV_ot_3G_d
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.07310032223
Minimum0
Maximum20.13969538
Zeros108156
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.441650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20.13969538
Range20.13969538
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.21115155
Coefficient of variation (CV)16.56834763
Kurtosis270.523773
Mean0.07310032223
Median Absolute Deviation (MAD)0
Skewness16.5081431
Sum7935.039979
Variance1.466888078
MonotonicityNot monotonic
2024-06-11T19:36:34.494344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 108156
72.1%
20.13969538 394
 
0.3%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108156
72.1%
20.13969538 394
 
0.3%
ValueCountFrequency (%)
20.13969538 394
 
0.3%
0 108156
72.1%

MV_dou_Roam_d
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.05048819217
Minimum0
Maximum13.01132535
Zeros146819
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.555436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6109528387
Coefficient of variation (CV)12.10090543
Kurtosis229.5433609
Mean0.05048819217
Median Absolute Deviation (MAD)0
Skewness14.52687352
Sum7486.742552
Variance0.3732633711
MonotonicityNot monotonic
2024-06-11T19:36:34.621958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 146819
97.9%
1.480453014 368
 
0.2%
2.206948961 162
 
0.1%
2.921812056 87
 
0.1%
3.590290394 84
 
0.1%
4.210401996 80
 
0.1%
4.786566308 65
 
< 0.1%
5.324077125 50
 
< 0.1%
5.827795843 40
 
< 0.1%
6.749901739 39
 
< 0.1%
Other values (22) 493
 
0.3%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 146819
97.9%
1.480453014 368
 
0.2%
2.206948961 162
 
0.1%
2.921812056 87
 
0.1%
3.590290394 84
 
0.1%
ValueCountFrequency (%)
13.01132535 7
< 0.1%
12.79226812 4
 
< 0.1%
12.56814363 7
< 0.1%
12.33868121 12
< 0.1%
12.1035869 14
< 0.1%

MV_ARPU_Roam_d_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.01292318938
Minimum0
Maximum44.75633791
Zeros148033
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.685816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44.75633791
Range44.75633791
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4215100436
Coefficient of variation (CV)32.61656478
Kurtosis3080.381314
Mean0.01292318938
Median Absolute Deviation (MAD)0
Skewness49.61745665
Sum1916.340983
Variance0.1776707168
MonotonicityNot monotonic
2024-06-11T19:36:34.747028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 148033
98.7%
3.539668309 145
 
0.1%
5.7508689 31
 
< 0.1%
14.64753823 12
 
< 0.1%
7.485636999 11
 
< 0.1%
20.13969538 10
 
< 0.1%
23.81164265 5
 
< 0.1%
8.921939477 4
 
< 0.1%
10.15473553 4
 
< 0.1%
11.23923554 4
 
< 0.1%
Other values (22) 28
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148033
98.7%
3.539668309 145
 
0.1%
5.750819605 1
 
< 0.1%
5.7508689 31
 
< 0.1%
7.485597097 2
 
< 0.1%
ValueCountFrequency (%)
44.75633791 1
 
< 0.1%
30.86708748 1
 
< 0.1%
30.8670736 3
< 0.1%
28.91645143 1
 
< 0.1%
26.62107315 1
 
< 0.1%

MV_ap_3G_d
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros76150
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.798112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:34.846115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 76150
50.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 76150
50.8%
ValueCountFrequency (%)
0 76150
50.8%

MV_dou_innet_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean8.16856397
Minimum0
Maximum13.01132535
Zeros21397
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:34.901833image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.210401996
median9.974411855
Q312.33868121
95-th percentile13.01132535
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)8.128279211

Descriptive statistics

Standard deviation4.692006933
Coefficient of variation (CV)0.5743980153
Kurtosis-1.090848852
Mean8.16856397
Median Absolute Deviation (MAD)2.817856266
Skewness-0.6429930921
Sum1211291.845
Variance22.01492906
MonotonicityNot monotonic
2024-06-11T19:36:34.966992image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 21397
 
14.3%
13.01132535 18459
 
12.3%
12.79226812 9309
 
6.2%
12.56814363 7010
 
4.7%
12.33868121 5912
 
3.9%
12.1035869 5333
 
3.6%
1.480453014 4917
 
3.3%
11.86254065 4568
 
3.0%
11.61519305 4268
 
2.8%
11.36116158 3869
 
2.6%
Other values (22) 63245
42.2%
ValueCountFrequency (%)
0 21397
14.3%
1.480453014 4917
 
3.3%
2.206948961 3618
 
2.4%
2.921812056 3096
 
2.1%
3.590290394 2852
 
1.9%
ValueCountFrequency (%)
13.01132535 18459
12.3%
12.79226812 9309
6.2%
12.56814363 7010
 
4.7%
12.33868121 5912
 
3.9%
12.1035869 5333
 
3.6%

MV_Traf_omo_inc_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct17139
Distinct (%)11.6%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10.19524775
Minimum0
Maximum66.35474898
Zeros32351
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.032122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2015563
median7.76756476
Q316.80060755
95-th percentile29.33183839
Maximum66.35474898
Range66.35474898
Interquartile range (IQR)15.59905125

Descriptive statistics

Standard deviation9.98664982
Coefficient of variation (CV)0.9795396904
Kurtosis0.3020720678
Mean10.19524775
Median Absolute Deviation (MAD)7.734387396
Skewness0.9322785605
Sum1511822.702
Variance99.73317463
MonotonicityNot monotonic
2024-06-11T19:36:35.100005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32351
 
21.6%
1.055879654 193
 
0.1%
1.097577944 189
 
0.1%
1.07568182 180
 
0.1%
1.090062766 179
 
0.1%
1.105297684 177
 
0.1%
1.113213566 176
 
0.1%
1.06223072 171
 
0.1%
1.164401954 169
 
0.1%
1.038461046 169
 
0.1%
Other values (17129) 114333
76.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 32351
21.6%
1.000273218 108
 
0.1%
1.001075172 65
 
< 0.1%
1.00238048 74
 
< 0.1%
1.004165221 71
 
< 0.1%
ValueCountFrequency (%)
66.35474898 1
< 0.1%
63.39516017 1
< 0.1%
62.62330984 1
< 0.1%
61.86340888 1
< 0.1%
61.60666009 1
< 0.1%

MV_ARPU_Other_out_v_Traf
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros148287
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.155073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:35.201700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 148287
98.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148287
98.9%
ValueCountFrequency (%)
0 148287
98.9%

MV_dou_net
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean12.13963082
Minimum1.480453014
Maximum13.01132535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.255599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile7.578965206
Q112.33868121
median13.01132535
Q313.01132535
95-th percentile13.01132535
Maximum13.01132535
Range11.53087233
Interquartile range (IQR)0.6726441413

Descriptive statistics

Standard deviation1.985135456
Coefficient of variation (CV)0.1635251916
Kurtosis9.939382109
Mean12.13963082
Median Absolute Deviation (MAD)0
Skewness-3.085309967
Sum1800149.435
Variance3.940762778
MonotonicityNot monotonic
2024-06-11T19:36:35.316625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
13.01132535 92581
61.7%
12.79226812 11351
 
7.6%
12.56814363 6488
 
4.3%
12.33868121 4608
 
3.1%
12.1035869 3504
 
2.3%
11.86254065 3022
 
2.0%
11.61519305 2550
 
1.7%
11.36116158 2098
 
1.4%
11.10002615 1837
 
1.2%
10.83132398 1726
 
1.2%
Other values (21) 18522
 
12.3%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
1.480453014 579
0.4%
2.206948961 596
0.4%
2.921812056 591
0.4%
3.590290394 548
0.4%
4.210401996 540
0.4%
ValueCountFrequency (%)
13.01132535 92581
61.7%
12.79226812 11351
 
7.6%
12.56814363 6488
 
4.3%
12.33868121 4608
 
3.1%
12.1035869 3504
 
2.3%

MV_dou
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing1117
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean12.10754642
Minimum1.480453014
Maximum13.01132535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.376647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile7.578965206
Q112.33868121
median13.01132535
Q313.01132535
95-th percentile13.01132535
Maximum13.01132535
Range11.53087233
Interquartile range (IQR)0.6726441413

Descriptive statistics

Standard deviation2.068500773
Coefficient of variation (CV)0.1708439267
Kurtosis9.860241054
Mean12.10754642
Median Absolute Deviation (MAD)0
Skewness-3.088296734
Sum1802607.834
Variance4.278695449
MonotonicityNot monotonic
2024-06-11T19:36:35.567599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
13.01132535 92805
61.9%
12.79226812 11353
 
7.6%
12.56814363 6453
 
4.3%
12.33868121 4622
 
3.1%
12.1035869 3503
 
2.3%
11.86254065 3003
 
2.0%
11.61519305 2514
 
1.7%
11.36116158 2089
 
1.4%
11.10002615 1851
 
1.2%
10.83132398 1717
 
1.1%
Other values (21) 18973
 
12.6%
ValueCountFrequency (%)
1.480453014 938
0.6%
2.206948961 707
0.5%
2.921812056 588
0.4%
3.590290394 547
0.4%
4.210401996 571
0.4%
ValueCountFrequency (%)
13.01132535 92805
61.9%
12.79226812 11353
 
7.6%
12.56814363 6453
 
4.3%
12.33868121 4622
 
3.1%
12.1035869 3503
 
2.3%

MV_Traf_Cont_out_s_Cnt
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2946746233
Minimum0
Maximum54.63849416
Zeros128606
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.633485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum54.63849416
Range54.63849416
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9905165335
Coefficient of variation (CV)3.361390684
Kurtosis135.5861949
Mean0.2946746233
Median Absolute Deviation (MAD)0
Skewness7.625573165
Sum43696.41587
Variance0.9811230031
MonotonicityNot monotonic
2024-06-11T19:36:35.704830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128606
85.7%
1.480453014 12944
 
8.6%
2.206948961 3134
 
2.1%
2.921812056 935
 
0.6%
3.590290394 918
 
0.6%
4.786566308 379
 
0.3%
4.210401996 348
 
0.2%
5.827795843 171
 
0.1%
5.324077125 158
 
0.1%
6.30189811 102
 
0.1%
Other values (63) 592
 
0.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 128606
85.7%
1.480453014 12944
 
8.6%
2.206948961 3134
 
2.1%
2.921812056 935
 
0.6%
3.590290394 918
 
0.6%
ValueCountFrequency (%)
54.63849416 1
< 0.1%
29.38626447 1
< 0.1%
25.9044174 1
< 0.1%
23.84002136 1
< 0.1%
23.5143809 1
< 0.1%

MV_VLR_Guest
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing147845
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.763208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum2155
Variance0
MonotonicityIncreasing
2024-06-11T19:36:35.809941image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 2155
 
1.4%
(Missing) 147845
98.6%
ValueCountFrequency (%)
1 2155
1.4%
ValueCountFrequency (%)
1 2155
1.4%

MV_ARPU_Other_inc_v_Traf
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros148287
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.856727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:35.904824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 148287
98.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148287
98.9%
ValueCountFrequency (%)
0 148287
98.9%

MV_Traf_4G_d_Mb
Real number (ℝ)

MISSING  ZEROS 

Distinct88045
Distinct (%)59.4%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean37.51376035
Minimum0
Maximum183.6344287
Zeros56672
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:35.965914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25.44535769
Q373.33261512
95-th percentile106.1091624
Maximum183.6344287
Range183.6344287
Interquartile range (IQR)73.33261512

Descriptive statistics

Standard deviation40.09913524
Coefficient of variation (CV)1.068918042
Kurtosis-1.175930315
Mean37.51376035
Median Absolute Deviation (MAD)25.44535769
Skewness0.5031927478
Sum5562802.981
Variance1607.940647
MonotonicityNot monotonic
2024-06-11T19:36:36.038249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56672
37.8%
1.000000953 516
 
0.3%
1.000003807 224
 
0.1%
1.000008558 135
 
0.1%
1.000015199 122
 
0.1%
1.000023726 96
 
0.1%
1.000034132 80
 
0.1%
1.000060562 67
 
< 0.1%
1.000046413 63
 
< 0.1%
1.000076574 55
 
< 0.1%
Other values (88035) 90257
60.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 56672
37.8%
1.000000001 2
 
< 0.1%
1.000000002 2
 
< 0.1%
1.000000005 1
 
< 0.1%
1.000000006 1
 
< 0.1%
ValueCountFrequency (%)
183.6344287 1
< 0.1%
176.6945172 1
< 0.1%
172.9220568 1
< 0.1%
171.3618751 1
< 0.1%
170.4791777 1
< 0.1%

MV_ot_R_v
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.002889453813
Minimum0
Maximum26.27691501
Zeros108538
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.098124image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.27691501
Range26.27691501
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2748019919
Coefficient of variation (CV)95.10516854
Kurtosis9041.556168
Mean0.002889453813
Median Absolute Deviation (MAD)0
Skewness95.0963348
Sum313.6502114
Variance0.07551613476
MonotonicityNot monotonic
2024-06-11T19:36:36.149775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 108538
72.4%
26.06584255 4
 
< 0.1%
26.23221486 2
 
< 0.1%
26.09212776 2
 
< 0.1%
26.09057279 1
 
< 0.1%
26.27691501 1
 
< 0.1%
26.2003135 1
 
< 0.1%
26.17035468 1
 
< 0.1%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108538
72.4%
26.06584255 4
 
< 0.1%
26.09057279 1
 
< 0.1%
26.09212776 2
 
< 0.1%
26.17035468 1
 
< 0.1%
ValueCountFrequency (%)
26.27691501 1
< 0.1%
26.23221486 2
< 0.1%
26.2003135 1
< 0.1%
26.17035468 1
< 0.1%
26.09212776 2
< 0.1%

MV_Traf_innet_out_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct46689
Distinct (%)31.5%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean22.47689138
Minimum0
Maximum91.13807324
Zeros24358
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.211768image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.431344267
median22.98576822
Q335.40630412
95-th percentile49.65633427
Maximum91.13807324
Range91.13807324
Interquartile range (IQR)28.97495985

Descriptive statistics

Standard deviation16.65629412
Coefficient of variation (CV)0.7410408245
Kurtosis-0.9653290791
Mean22.47689138
Median Absolute Deviation (MAD)14.01440061
Skewness0.1799534048
Sum3333030.792
Variance277.4321338
MonotonicityNot monotonic
2024-06-11T19:36:36.280115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24358
 
16.2%
1.000273218 100
 
0.1%
1.055879654 68
 
< 0.1%
1.097577944 66
 
< 0.1%
1.043982701 65
 
< 0.1%
1.480453014 64
 
< 0.1%
1.06223072 62
 
< 0.1%
1.023762432 61
 
< 0.1%
1.164401954 60
 
< 0.1%
1.146683065 58
 
< 0.1%
Other values (46679) 123325
82.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 24358
16.2%
1.000273218 100
 
0.1%
1.001075172 50
 
< 0.1%
1.00238048 42
 
< 0.1%
1.004165221 41
 
< 0.1%
ValueCountFrequency (%)
91.13807324 1
< 0.1%
90.67726617 1
< 0.1%
88.82725893 1
< 0.1%
85.64034878 1
< 0.1%
83.59094684 1
< 0.1%

MV_ap_Other
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0.05956281238
Minimum0
Maximum15.001274
Zeros75347
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.345933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15.001274
Range15.001274
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6544108309
Coefficient of variation (CV)10.98690281
Kurtosis167.1352093
Mean0.05956281238
Median Absolute Deviation (MAD)0
Skewness12.44462196
Sum4535.708163
Variance0.4282535356
MonotonicityNot monotonic
2024-06-11T19:36:36.421306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75347
50.2%
8.961455066 141
 
0.1%
1.169725207 62
 
< 0.1%
1.494067668 43
 
< 0.1%
3.640612817 38
 
< 0.1%
8.788547571 30
 
< 0.1%
2.235641939 28
 
< 0.1%
2.604442436 27
 
< 0.1%
3.307989338 26
 
< 0.1%
1.861150816 25
 
< 0.1%
Other values (42) 383
 
0.3%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 75347
50.2%
1.169725207 62
 
< 0.1%
1.494067668 43
 
< 0.1%
1.861150816 25
 
< 0.1%
2.235641939 28
 
< 0.1%
ValueCountFrequency (%)
15.001274 1
 
< 0.1%
14.64753823 7
< 0.1%
12.0423874 9
< 0.1%
11.83344376 2
 
< 0.1%
11.61977833 1
 
< 0.1%

MV_Traf_Other_inc_v_Min
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.001356417018
Minimum0
Maximum26.12871576
Zeros148256
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.491734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26.12871576
Range26.12871576
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1380524084
Coefficient of variation (CV)101.7772607
Kurtosis21947.57054
Mean0.001356417018
Median Absolute Deviation (MAD)0
Skewness139.281333
Sum201.1390104
Variance0.01905846748
MonotonicityNot monotonic
2024-06-11T19:36:36.559144image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 148256
98.8%
5.193045981 1
 
< 0.1%
1.693737607 1
 
< 0.1%
1.389568602 1
 
< 0.1%
3.104916052 1
 
< 0.1%
3.002348883 1
 
< 0.1%
1.001075172 1
 
< 0.1%
5.086654551 1
 
< 0.1%
2.640791516 1
 
< 0.1%
8.750555253 1
 
< 0.1%
Other values (22) 22
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148256
98.8%
1.001075172 1
 
< 0.1%
1.019533401 1
 
< 0.1%
1.043982701 1
 
< 0.1%
1.146683065 1
 
< 0.1%
ValueCountFrequency (%)
26.12871576 1
< 0.1%
24.73152134 1
< 0.1%
19.1343587 1
< 0.1%
18.76487593 1
< 0.1%
13.69452884 1
< 0.1%

MV_Traf_omo_out_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct18520
Distinct (%)12.5%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10.00454561
Minimum0
Maximum76.4497056
Zeros41053
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.627278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.647538089
Q317.10113688
95-th percentile30.83422812
Maximum76.4497056
Range76.4497056
Interquartile range (IQR)17.10113688

Descriptive statistics

Standard deviation10.62452102
Coefficient of variation (CV)1.061969372
Kurtosis0.1797141286
Mean10.00454561
Median Absolute Deviation (MAD)6.647538089
Skewness0.9708298032
Sum1483544.054
Variance112.8804469
MonotonicityNot monotonic
2024-06-11T19:36:36.704470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41053
 
27.4%
1.000273218 265
 
0.2%
1.043982701 190
 
0.1%
1.055879654 177
 
0.1%
1.138059476 172
 
0.1%
1.001075172 171
 
0.1%
1.004165221 170
 
0.1%
1.038461046 169
 
0.1%
1.06223072 169
 
0.1%
1.049793044 166
 
0.1%
Other values (18510) 105585
70.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 41053
27.4%
1.000273218 265
 
0.2%
1.001075172 171
 
0.1%
1.00238048 130
 
0.1%
1.004165221 170
 
0.1%
ValueCountFrequency (%)
76.4497056 1
< 0.1%
73.84980823 1
< 0.1%
65.85767154 1
< 0.1%
62.58788776 1
< 0.1%
62.5367243 1
< 0.1%

MV_Traf_pstn_out_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct1897
Distinct (%)1.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.526576079
Minimum0
Maximum38.55367926
Zeros126106
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.779572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.55804062
Maximum38.55367926
Range38.55367926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.778187061
Coefficient of variation (CV)3.376885377
Kurtosis46.91130878
Mean0.526576079
Median Absolute Deviation (MAD)0
Skewness5.66141168
Sum78084.38703
Variance3.161949224
MonotonicityNot monotonic
2024-06-11T19:36:36.855392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 126106
84.1%
1.015665812 324
 
0.2%
1.012176694 240
 
0.2%
1.006406835 171
 
0.1%
1.068835007 151
 
0.1%
1.019533401 148
 
0.1%
1.004165221 142
 
0.1%
1.00908403 139
 
0.1%
1.038461046 138
 
0.1%
1.043982701 135
 
0.1%
Other values (1887) 20593
 
13.7%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 126106
84.1%
1.000273218 134
 
0.1%
1.001075172 96
 
0.1%
1.00238048 85
 
0.1%
1.004165221 142
 
0.1%
ValueCountFrequency (%)
38.55367926 1
< 0.1%
37.28143474 1
< 0.1%
36.90563382 1
< 0.1%
36.5591675 1
< 0.1%
33.9039432 1
< 0.1%

MV_net_total
Real number (ℝ)

MISSING  ZEROS 

Distinct17910
Distinct (%)12.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean4.042950953
Minimum0
Maximum73.0284246
Zeros79916
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:36.930957image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.750819605
95-th percentile18.85946224
Maximum73.0284246
Range73.0284246
Interquartile range (IQR)5.750819605

Descriptive statistics

Standard deviation6.569384463
Coefficient of variation (CV)1.624898383
Kurtosis4.541597937
Mean4.042950953
Median Absolute Deviation (MAD)0
Skewness2.05720371
Sum599517.0679
Variance43.15681223
MonotonicityNot monotonic
2024-06-11T19:36:37.003834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79916
53.3%
4.497536115 4803
 
3.2%
1.604773951 4438
 
3.0%
1.604273725 2300
 
1.5%
5.750474527 1633
 
1.1%
7.165976416 1335
 
0.9%
2.46360592 1194
 
0.8%
1.335206418 1010
 
0.7%
2.463172916 802
 
0.5%
5.750819605 715
 
0.5%
Other values (17900) 50141
33.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 79916
53.3%
1.00000001 615
 
0.4%
1.00000004 160
 
0.1%
1.00000009 78
 
0.1%
1.00000016 35
 
< 0.1%
ValueCountFrequency (%)
73.0284246 1
< 0.1%
63.39728405 1
< 0.1%
61.56417651 1
< 0.1%
60.71486152 1
< 0.1%
51.7612385 1
< 0.1%

MV_ot_Cont_v
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.001479450054
Minimum0
Maximum8.921905742
Zeros108532
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:37.062707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8.921905742
Range8.921905742
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1148801407
Coefficient of variation (CV)77.65057052
Kurtosis6025.833333
Mean0.001479450054
Median Absolute Deviation (MAD)0
Skewness77.63840744
Sum160.5943034
Variance0.01319744674
MonotonicityNot monotonic
2024-06-11T19:36:37.109034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 108532
72.4%
8.921905742 18
 
< 0.1%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108532
72.4%
8.921905742 18
 
< 0.1%
ValueCountFrequency (%)
8.921905742 18
 
< 0.1%
0 108532
72.4%

MV_Traf_Cont_inc_s_Cnt
Real number (ℝ)

MISSING  ZEROS 

Distinct525
Distinct (%)0.4%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean18.31806626
Minimum0
Maximum89.75078226
Zeros1794
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:37.170911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.26911687
Q116.30392399
median18.55320686
Q320.84120984
95-th percentile25.06172065
Maximum89.75078226
Range89.75078226
Interquartile range (IQR)4.537285841

Descriptive statistics

Standard deviation4.729142312
Coefficient of variation (CV)0.2581682065
Kurtosis4.122422328
Mean18.31806626
Median Absolute Deviation (MAD)2.249282862
Skewness-0.7076380717
Sum2716331.091
Variance22.364787
MonotonicityNot monotonic
2024-06-11T19:36:37.368738image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.76365739 2513
 
1.7%
17.20345623 2472
 
1.6%
18.16556536 2437
 
1.6%
18.42550908 2419
 
1.6%
17.62631161 2417
 
1.6%
18.2963085 2408
 
1.6%
18.67944002 2398
 
1.6%
18.55320686 2368
 
1.6%
17.89928393 2364
 
1.6%
17.34626355 2351
 
1.6%
Other values (515) 124140
82.8%
ValueCountFrequency (%)
0 1794
1.2%
1.480453014 319
 
0.2%
2.206948961 214
 
0.1%
2.921812056 217
 
0.1%
3.590290394 216
 
0.1%
ValueCountFrequency (%)
89.75078226 1
< 0.1%
58.75090063 1
< 0.1%
55.751092 1
< 0.1%
55.16176392 1
< 0.1%
51.64306561 2
< 0.1%

MV_Traf_Cont_inc_v_Min
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros148287
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:37.445826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:37.509365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 148287
98.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148287
98.9%
ValueCountFrequency (%)
0 148287
98.9%

MV_Traf_Roam_d_Mb
Real number (ℝ)

MISSING  ZEROS 

Distinct1324
Distinct (%)0.9%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2247323904
Minimum0
Maximum107.1775213
Zeros146827
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:37.571514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum107.1775213
Range107.1775213
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.552641211
Coefficient of variation (CV)15.80831853
Kurtosis374.4121632
Mean0.2247323904
Median Absolute Deviation (MAD)0
Skewness18.54923508
Sum33324.89197
Variance12.62125957
MonotonicityNot monotonic
2024-06-11T19:36:37.647365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146827
97.9%
1.008681995 33
 
< 0.1%
1.031829292 17
 
< 0.1%
1.066018642 9
 
< 0.1%
1.000000953 9
 
< 0.1%
1.532293655 8
 
< 0.1%
1.601541166 7
 
< 0.1%
1.21268304 7
 
< 0.1%
1.008848508 7
 
< 0.1%
1.1581032 6
 
< 0.1%
Other values (1314) 1357
 
0.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 146827
97.9%
1.000000001 1
 
< 0.1%
1.000000002 2
 
< 0.1%
1.000000005 1
 
< 0.1%
1.000000009 1
 
< 0.1%
ValueCountFrequency (%)
107.1775213 1
< 0.1%
104.3879384 1
< 0.1%
103.1060673 1
< 0.1%
101.1630469 1
< 0.1%
100.836108 1
< 0.1%

MV_ARPU_3G_d_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct489
Distinct (%)0.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.5050879431
Minimum0
Maximum48.33437369
Zeros139017
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:37.723679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.497536115
Maximum48.33437369
Range48.33437369
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.37390027
Coefficient of variation (CV)4.699974138
Kurtosis55.82809165
Mean0.5050879431
Median Absolute Deviation (MAD)0
Skewness6.593661054
Sum74897.97582
Variance5.635402493
MonotonicityNot monotonic
2024-06-11T19:36:37.797951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139017
92.7%
4.497536115 4254
 
2.8%
7.165976416 1325
 
0.9%
9.181785673 658
 
0.4%
10.81975628 377
 
0.3%
12.20938997 254
 
0.2%
5.750474527 197
 
0.1%
13.42201696 171
 
0.1%
4.497939569 155
 
0.1%
14.50136545 133
 
0.1%
Other values (479) 1746
 
1.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 139017
92.7%
1.073740864 1
 
< 0.1%
1.138982946 1
 
< 0.1%
1.145865559 1
 
< 0.1%
1.333779266 32
 
< 0.1%
ValueCountFrequency (%)
48.33437369 1
< 0.1%
45.72498732 1
< 0.1%
44.75633436 1
< 0.1%
43.46457927 1
< 0.1%
43.03543447 1
< 0.1%

MV_dou_4G_d
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean6.837996663
Minimum0
Maximum13.01132535
Zeros56424
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:37.862132image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.354248899
Q312.79226812
95-th percentile13.01132535
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)12.79226812

Descriptive statistics

Standard deviation5.873338904
Coefficient of variation (CV)0.8589268456
Kurtosis-1.842133961
Mean6.837996663
Median Absolute Deviation (MAD)3.657076449
Skewness-0.1743234254
Sum1013986.011
Variance34.49610988
MonotonicityNot monotonic
2024-06-11T19:36:37.927653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 56424
37.6%
13.01132535 28244
18.8%
12.79226812 11669
 
7.8%
12.56814363 7436
 
5.0%
12.33868121 5303
 
3.5%
12.1035869 4133
 
2.8%
11.86254065 3377
 
2.3%
11.61519305 2712
 
1.8%
11.36116158 2324
 
1.5%
1.480453014 2025
 
1.4%
Other values (22) 24640
16.4%
ValueCountFrequency (%)
0 56424
37.6%
1.480453014 2025
 
1.4%
2.206948961 1637
 
1.1%
2.921812056 1210
 
0.8%
3.590290394 1080
 
0.7%
ValueCountFrequency (%)
13.01132535 28244
18.8%
12.79226812 11669
7.8%
12.56814363 7436
 
5.0%
12.33868121 5303
 
3.5%
12.1035869 4133
 
2.8%

MV_ARPU_4G_d_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct944
Distinct (%)0.6%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1.243658453
Minimum0
Maximum49.52303628
Zeros127375
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.000716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.181785673
Maximum49.52303628
Range49.52303628
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.767599423
Coefficient of variation (CV)3.029448651
Kurtosis19.78206203
Mean1.243658453
Median Absolute Deviation (MAD)0
Skewness4.039116428
Sum184418.381
Variance14.19480541
MonotonicityNot monotonic
2024-06-11T19:36:38.078650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127375
84.9%
4.497536115 8808
 
5.9%
7.165976416 2968
 
2.0%
9.181785673 1563
 
1.0%
10.81975628 1117
 
0.7%
12.20938997 709
 
0.5%
13.42201696 485
 
0.3%
14.50136545 373
 
0.2%
5.750474527 345
 
0.2%
15.47632245 258
 
0.2%
Other values (934) 4286
 
2.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 127375
84.9%
1.021140637 1
 
< 0.1%
1.090998116 1
 
< 0.1%
1.106834 1
 
< 0.1%
1.136933423 1
 
< 0.1%
ValueCountFrequency (%)
49.52303628 1
< 0.1%
48.7937441 1
< 0.1%
48.17831622 1
< 0.1%
47.63198402 1
< 0.1%
47.37432159 1
< 0.1%

MV_AP_total
Real number (ℝ)

MISSING 

Distinct1243
Distinct (%)1.6%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean22.70450351
Minimum0
Maximum52.0058079
Zeros437
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.155668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.3436809
Q121.74906374
median22.47711246
Q325.29596072
95-th percentile29.33036315
Maximum52.0058079
Range52.0058079
Interquartile range (IQR)3.546896982

Descriptive statistics

Standard deviation5.134309713
Coefficient of variation (CV)0.2261361809
Kurtosis5.042187334
Mean22.70450351
Median Absolute Deviation (MAD)1.950075519
Skewness-1.192514499
Sum1728947.942
Variance26.36113623
MonotonicityNot monotonic
2024-06-11T19:36:38.237361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.74906374 11589
 
7.7%
29.33036315 8978
 
6.0%
22.47711246 6520
 
4.3%
23.16295481 6512
 
4.3%
22.11876484 5601
 
3.7%
24.1232528 3819
 
2.5%
20.13969538 3748
 
2.5%
15.3436809 3671
 
2.4%
20.13960725 3045
 
2.0%
25.57253549 2336
 
1.6%
Other values (1233) 20331
 
13.6%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 437
0.3%
1.000018411 86
 
0.1%
1.000055831 8
 
< 0.1%
1.000060369 36
 
< 0.1%
1.000073329 5
 
< 0.1%
ValueCountFrequency (%)
52.0058079 1
< 0.1%
51.55653744 1
< 0.1%
49.52317562 1
< 0.1%
48.99931518 1
< 0.1%
47.19852582 1
< 0.1%

MV_ot_R_sm
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros108550
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.297488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:38.346303image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 108550
72.4%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108550
72.4%
ValueCountFrequency (%)
0 108550
72.4%

MV_ARPU_Cont_out_s_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct260
Distinct (%)0.2%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.07985287148
Minimum0
Maximum35.62761492
Zeros145138
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.408294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35.62761492
Range35.62761492
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8901174197
Coefficient of variation (CV)11.14696821
Kurtosis416.4289857
Mean0.07985287148
Median Absolute Deviation (MAD)0
Skewness18.59271795
Sum11841.14275
Variance0.7923090209
MonotonicityNot monotonic
2024-06-11T19:36:38.486333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145138
96.8%
1.335271319 1224
 
0.8%
1.889929983 434
 
0.3%
3.695661629 177
 
0.1%
2.463678086 117
 
0.1%
1.109485035 81
 
0.1%
1.164401954 74
 
< 0.1%
5.987051394 60
 
< 0.1%
7.771718349 48
 
< 0.1%
1.148322296 48
 
< 0.1%
Other values (250) 886
 
0.6%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 145138
96.8%
1.109485035 81
 
0.1%
1.148322296 48
 
< 0.1%
1.164401954 74
 
< 0.1%
1.334752185 34
 
< 0.1%
ValueCountFrequency (%)
35.62761492 1
< 0.1%
29.73161829 1
< 0.1%
29.41163785 1
< 0.1%
29.08360098 1
< 0.1%
29.0835798 1
< 0.1%

MV_ARPU_Cont_out_v_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct116
Distinct (%)0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.006764166231
Minimum0
Maximum33.39309949
Zeros148117
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.563153image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33.39309949
Range33.39309949
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2766706919
Coefficient of variation (CV)40.90240873
Kurtosis4353.399497
Mean0.006764166231
Median Absolute Deviation (MAD)0
Skewness59.03662638
Sum1003.037918
Variance0.07654667177
MonotonicityNot monotonic
2024-06-11T19:36:38.644639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148117
98.7%
1.962050544 10
 
< 0.1%
3.336607421 9
 
< 0.1%
2.369268471 6
 
< 0.1%
6.989446531 4
 
< 0.1%
8.089361552 4
 
< 0.1%
2.569415055 4
 
< 0.1%
3.696933124 3
 
< 0.1%
4.210879784 3
 
< 0.1%
6.378306784 3
 
< 0.1%
Other values (106) 124
 
0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148117
98.7%
1.059022846 1
 
< 0.1%
1.064408928 1
 
< 0.1%
1.067147458 1
 
< 0.1%
1.072791017 1
 
< 0.1%
ValueCountFrequency (%)
33.39309949 1
< 0.1%
25.97033408 1
< 0.1%
23.82401074 1
< 0.1%
20.92892533 1
< 0.1%
20.49060791 1
< 0.1%

MV_DOU_AP
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)< 0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.58926861
Minimum1.480453014
Maximum13.01132535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.711764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q31.480453014
95-th percentile2.206948961
Maximum13.01132535
Range11.53087233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8182434312
Coefficient of variation (CV)0.5148553404
Kurtosis141.7627183
Mean1.58926861
Median Absolute Deviation (MAD)0
Skewness11.47235883
Sum121022.8047
Variance0.6695223128
MonotonicityNot monotonic
2024-06-11T19:36:38.775199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1.480453014 71783
47.9%
2.206948961 3417
 
2.3%
2.921812056 221
 
0.1%
13.01132535 155
 
0.1%
3.590290394 61
 
< 0.1%
5.827795843 41
 
< 0.1%
4.210401996 40
 
< 0.1%
12.79226812 36
 
< 0.1%
6.30189811 32
 
< 0.1%
4.786566308 30
 
< 0.1%
Other values (21) 334
 
0.2%
(Missing) 73850
49.2%
ValueCountFrequency (%)
1.480453014 71783
47.9%
2.206948961 3417
 
2.3%
2.921812056 221
 
0.1%
3.590290394 61
 
< 0.1%
4.210401996 40
 
< 0.1%
ValueCountFrequency (%)
13.01132535 155
0.1%
12.79226812 36
 
< 0.1%
12.56814363 17
 
< 0.1%
12.33868121 5
 
< 0.1%
12.1035869 17
 
< 0.1%

MV_ot_Unkn
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.009983268438
Minimum0
Maximum61.53413636
Zeros108508
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.828848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum61.53413636
Range61.53413636
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5394858834
Coefficient of variation (CV)54.03900404
Kurtosis4631.984319
Mean0.009983268438
Median Absolute Deviation (MAD)0
Skewness62.74164909
Sum1083.683789
Variance0.2910450184
MonotonicityNot monotonic
2024-06-11T19:36:38.878928image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 108508
72.3%
20.13969538 19
 
< 0.1%
28.91644607 9
 
< 0.1%
23.81164265 6
 
< 0.1%
32.56892666 3
 
< 0.1%
37.83625339 2
 
< 0.1%
7.485597097 1
 
< 0.1%
55.51268609 1
 
< 0.1%
61.53413636 1
 
< 0.1%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108508
72.3%
7.485597097 1
 
< 0.1%
20.13969538 19
 
< 0.1%
23.81164265 6
 
< 0.1%
28.91644607 9
 
< 0.1%
ValueCountFrequency (%)
61.53413636 1
 
< 0.1%
55.51268609 1
 
< 0.1%
37.83625339 2
 
< 0.1%
32.56892666 3
 
< 0.1%
28.91644607 9
< 0.1%

MV_ot_Roam_d
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.002307894433
Minimum0
Maximum39.88749886
Zeros108532
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:38.931797image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39.88749886
Range39.88749886
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2378135089
Coefficient of variation (CV)103.0434952
Kurtosis17386.3944
Mean0.002307894433
Median Absolute Deviation (MAD)0
Skewness127.6662631
Sum250.5219407
Variance0.056555265
MonotonicityNot monotonic
2024-06-11T19:36:38.990255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 108532
72.4%
28.91640317 5
 
< 0.1%
6.053643678 4
 
< 0.1%
4.770033037 2
 
< 0.1%
5.865060001 2
 
< 0.1%
5.876350628 1
 
< 0.1%
39.88749886 1
 
< 0.1%
4.38368446 1
 
< 0.1%
5.034002154 1
 
< 0.1%
5.273627995 1
 
< 0.1%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108532
72.4%
4.38368446 1
 
< 0.1%
4.770033037 2
 
< 0.1%
5.034002154 1
 
< 0.1%
5.273627995 1
 
< 0.1%
ValueCountFrequency (%)
39.88749886 1
 
< 0.1%
28.91640317 5
< 0.1%
6.053643678 4
< 0.1%
5.876350628 1
 
< 0.1%
5.865060001 2
 
< 0.1%

MV_Traf_R_inc_v_Min
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct459
Distinct (%)0.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.02669274053
Minimum0
Maximum35.00115859
Zeros147662
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.056121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35.00115859
Range35.00115859
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5480992015
Coefficient of variation (CV)20.53364288
Kurtosis869.5637398
Mean0.02669274053
Median Absolute Deviation (MAD)0
Skewness27.05304555
Sum3958.186415
Variance0.3004127347
MonotonicityNot monotonic
2024-06-11T19:36:39.238218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147662
98.4%
1.155466029 7
 
< 0.1%
1.121317553 7
 
< 0.1%
1.043982701 6
 
< 0.1%
1.585941017 6
 
< 0.1%
1.182708386 5
 
< 0.1%
1.006406835 5
 
< 0.1%
1.669631786 4
 
< 0.1%
1.334644053 4
 
< 0.1%
1.097577944 4
 
< 0.1%
Other values (449) 577
 
0.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 147662
98.4%
1.000273218 2
 
< 0.1%
1.001075172 1
 
< 0.1%
1.00238048 2
 
< 0.1%
1.004165221 2
 
< 0.1%
ValueCountFrequency (%)
35.00115859 1
< 0.1%
28.76661173 1
< 0.1%
28.1614996 1
< 0.1%
24.59640995 1
< 0.1%
23.39968179 1
< 0.1%

MV_ap_2G_d
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros76150
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.295897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:39.343458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 76150
50.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 76150
50.8%
ValueCountFrequency (%)
0 76150
50.8%

MV_Traf_mn_inc_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct8274
Distinct (%)5.6%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2.042175472
Minimum0
Maximum71.59095229
Zeros121834
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.404222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15.42760648
Maximum71.59095229
Range71.59095229
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.443491673
Coefficient of variation (CV)3.155209609
Kurtosis20.50385747
Mean2.042175472
Median Absolute Deviation (MAD)0
Skewness4.212000698
Sum302828.0743
Variance41.51858493
MonotonicityNot monotonic
2024-06-11T19:36:39.476287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 121834
81.2%
1.000273218 1336
 
0.9%
1.001075172 393
 
0.3%
1.049793044 173
 
0.1%
1.055879654 127
 
0.1%
1.00238048 121
 
0.1%
1.07568182 95
 
0.1%
1.06223072 89
 
0.1%
1.043982701 88
 
0.1%
1.164401954 75
 
0.1%
Other values (8264) 23956
 
16.0%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 121834
81.2%
1.000273218 1336
 
0.9%
1.001075172 393
 
0.3%
1.00238048 121
 
0.1%
1.004165221 57
 
< 0.1%
ValueCountFrequency (%)
71.59095229 1
< 0.1%
71.01462688 1
< 0.1%
69.89753806 1
< 0.1%
68.86957137 1
< 0.1%
68.85904307 1
< 0.1%

MV_dou_3G_d
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean4.750928463
Minimum0
Maximum13.01132535
Zeros51933
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.545972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.590290394
Q38.687248223
95-th percentile12.79226812
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)8.687248223

Descriptive statistics

Standard deviation4.580053059
Coefficient of variation (CV)0.9640332609
Kurtosis-1.272471408
Mean4.750928463
Median Absolute Deviation (MAD)3.590290394
Skewness0.4256771418
Sum704500.929
Variance20.97688602
MonotonicityNot monotonic
2024-06-11T19:36:39.610874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 51933
34.6%
2.206948961 6821
 
4.5%
13.01132535 6527
 
4.4%
1.480453014 6520
 
4.3%
2.921812056 4948
 
3.3%
3.590290394 4827
 
3.2%
4.210401996 4154
 
2.8%
4.786566308 3970
 
2.6%
5.324077125 3766
 
2.5%
5.827795843 3656
 
2.4%
Other values (22) 51165
34.1%
ValueCountFrequency (%)
0 51933
34.6%
1.480453014 6520
 
4.3%
2.206948961 6821
 
4.5%
2.921812056 4948
 
3.3%
3.590290394 4827
 
3.2%
ValueCountFrequency (%)
13.01132535 6527
4.4%
12.79226812 2231
 
1.5%
12.56814363 1847
 
1.2%
12.33868121 1741
 
1.2%
12.1035869 1633
 
1.1%

MV_ap_Roam_d
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros76150
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.662924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:39.710648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 76150
50.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 76150
50.8%
ValueCountFrequency (%)
0 76150
50.8%

MV_ot_4G_d
Real number (ℝ)

MISSING  ZEROS 

Distinct1214
Distinct (%)1.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean5.683182159
Minimum0
Maximum42.8656603
Zeros79525
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.771860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.97483213
95-th percentile25.34128146
Maximum42.8656603
Range42.8656603
Interquartile range (IQR)12.97483213

Descriptive statistics

Standard deviation9.727171113
Coefficient of variation (CV)1.711571236
Kurtosis-0.3022613527
Mean5.683182159
Median Absolute Deviation (MAD)0
Skewness1.222287833
Sum616909.4233
Variance94.61785787
MonotonicityNot monotonic
2024-06-11T19:36:39.839311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79525
53.0%
21.66858662 5958
 
4.0%
21.55449686 4092
 
2.7%
25.34128146 3730
 
2.5%
19.84963616 3120
 
2.1%
19.71234526 1179
 
0.8%
23.40263821 1168
 
0.8%
9.449100758 903
 
0.6%
21.76718399 866
 
0.6%
23.53093806 604
 
0.4%
Other values (1204) 7405
 
4.9%
(Missing) 41450
27.6%
ValueCountFrequency (%)
0 79525
53.0%
1.000029814 2
 
< 0.1%
1.000049323 8
 
< 0.1%
1.000054671 6
 
< 0.1%
1.000055876 2
 
< 0.1%
ValueCountFrequency (%)
42.8656603 1
< 0.1%
42.5155642 1
< 0.1%
41.31165263 1
< 0.1%
41.19661348 1
< 0.1%
41.05817777 1
< 0.1%

MV_ARPU_pstn_out_v_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct291
Distinct (%)0.2%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.03053501682
Minimum0
Maximum22.06956039
Zeros146706
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:39.906627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22.06956039
Range22.06956039
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3844333361
Coefficient of variation (CV)12.58991728
Kurtosis559.6367802
Mean0.03053501682
Median Absolute Deviation (MAD)0
Skewness20.10941157
Sum4527.94604
Variance0.1477889899
MonotonicityNot monotonic
2024-06-11T19:36:39.976495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146706
97.8%
1.148322296 143
 
0.1%
1.438882091 109
 
0.1%
1.773305234 77
 
0.1%
1.14874172 62
 
< 0.1%
1.334752185 60
 
< 0.1%
1.147903236 51
 
< 0.1%
1.604773951 51
 
< 0.1%
1.439975299 50
 
< 0.1%
1.437789342 47
 
< 0.1%
Other values (281) 931
 
0.6%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 146706
97.8%
1.109437505 36
 
< 0.1%
1.147903236 51
 
< 0.1%
1.148322296 143
 
0.1%
1.14874172 62
 
< 0.1%
ValueCountFrequency (%)
22.06956039 1
< 0.1%
19.22673277 1
< 0.1%
17.67503531 1
< 0.1%
17.41228131 1
< 0.1%
17.09154348 1
< 0.1%

MV_ARPU_innet_out_s_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct448
Distinct (%)0.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2940130437
Minimum0
Maximum50.39643032
Zeros130989
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.046111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.604773951
Maximum50.39643032
Range50.39643032
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.06066453
Coefficient of variation (CV)3.607542428
Kurtosis117.8974824
Mean0.2940130437
Median Absolute Deviation (MAD)0
Skewness7.553465196
Sum43598.31222
Variance1.125009245
MonotonicityNot monotonic
2024-06-11T19:36:40.119083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 130989
87.3%
1.604773951 6026
 
4.0%
1.604273725 3734
 
2.5%
2.46360592 1623
 
1.1%
2.462595556 1138
 
0.8%
3.281747174 665
 
0.4%
3.280346311 554
 
0.4%
4.032641655 354
 
0.2%
4.030932259 275
 
0.2%
4.720691116 231
 
0.2%
Other values (438) 2698
 
1.8%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 130989
87.3%
1.020764909 1
 
< 0.1%
1.02081484 1
 
< 0.1%
1.021015075 1
 
< 0.1%
1.021216128 207
 
0.1%
ValueCountFrequency (%)
50.39643032 1
< 0.1%
32.48368551 1
< 0.1%
31.54545051 1
< 0.1%
31.3742659 1
< 0.1%
29.79089495 1
< 0.1%

MV_ARPU_mn_out_s_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.08673060965
Minimum0
Maximum39.25779828
Zeros145075
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.189068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39.25779828
Range39.25779828
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7418052832
Coefficient of variation (CV)8.552981308
Kurtosis376.2424393
Mean0.08673060965
Median Absolute Deviation (MAD)0
Skewness15.43953359
Sum12861.02191
Variance0.5502750781
MonotonicityNot monotonic
2024-06-11T19:36:40.266018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145075
96.7%
2.463172916 1992
 
1.3%
4.0319091 521
 
0.3%
5.353447327 224
 
0.1%
6.488016529 135
 
0.1%
7.484120594 72
 
< 0.1%
8.374312464 55
 
< 0.1%
9.180868636 34
 
< 0.1%
9.919602944 26
 
< 0.1%
11.83177837 17
 
< 0.1%
Other values (51) 136
 
0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 145075
96.7%
1.327631433 1
 
< 0.1%
2.460502425 1
 
< 0.1%
2.463172916 1992
 
1.3%
2.795990511 1
 
< 0.1%
ValueCountFrequency (%)
39.25779828 1
 
< 0.1%
33.16008028 1
 
< 0.1%
31.18622339 1
 
< 0.1%
28.0885119 1
 
< 0.1%
27.39806217 3
< 0.1%

MV_Traf_inc_s_Cnt
Real number (ℝ)

MISSING  ZEROS 

Distinct372
Distinct (%)0.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean3.675926115
Minimum0
Maximum77.68775542
Zeros42768
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.341065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q35.324077125
95-th percentile11.86254065
Maximum77.68775542
Range77.68775542
Interquartile range (IQR)5.324077125

Descriptive statistics

Standard deviation4.257064475
Coefficient of variation (CV)1.158093047
Kurtosis10.37978531
Mean3.675926115
Median Absolute Deviation (MAD)2.206948961
Skewness2.303468811
Sum545092.0558
Variance18.12259794
MonotonicityNot monotonic
2024-06-11T19:36:40.490996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42768
28.5%
1.480453014 18950
12.6%
2.206948961 14562
 
9.7%
2.921812056 10757
 
7.2%
3.590290394 8858
 
5.9%
4.210401996 6810
 
4.5%
4.786566308 5762
 
3.8%
5.324077125 4729
 
3.2%
5.827795843 3958
 
2.6%
6.30189811 3326
 
2.2%
Other values (362) 27807
18.5%
ValueCountFrequency (%)
0 42768
28.5%
1.480453014 18950
12.6%
2.206948961 14562
 
9.7%
2.921812056 10757
 
7.2%
3.590290394 8858
 
5.9%
ValueCountFrequency (%)
77.68775542 1
< 0.1%
63.71044203 1
< 0.1%
60.63974802 1
< 0.1%
60.05590426 1
< 0.1%
58.91000272 1
< 0.1%

MV_Traf_mn_out_s_Cnt
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.05949094102
Minimum0
Maximum29.43788973
Zeros144625
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.564945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29.43788973
Range29.43788973
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5002511514
Coefficient of variation (CV)8.408862641
Kurtosis558.5302893
Mean0.05949094102
Median Absolute Deviation (MAD)0
Skewness18.17325106
Sum8821.733171
Variance0.2502512145
MonotonicityNot monotonic
2024-06-11T19:36:40.636448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144625
96.4%
1.480453014 2200
 
1.5%
2.206948961 617
 
0.4%
2.921812056 277
 
0.2%
3.590290394 164
 
0.1%
4.210401996 96
 
0.1%
4.786566308 61
 
< 0.1%
5.324077125 42
 
< 0.1%
5.827795843 33
 
< 0.1%
6.30189811 22
 
< 0.1%
Other values (41) 150
 
0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 144625
96.4%
1.480453014 2200
 
1.5%
2.206948961 617
 
0.4%
2.921812056 277
 
0.2%
3.590290394 164
 
0.1%
ValueCountFrequency (%)
29.43788973 1
< 0.1%
26.50104569 1
< 0.1%
24.69289163 1
< 0.1%
24.23511437 1
< 0.1%
22.83532932 1
< 0.1%

MV_ARPU_innet_inc_v_Traf
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros148287
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.693267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:40.742306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 148287
98.9%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148287
98.9%
ValueCountFrequency (%)
0 148287
98.9%

MV_ap_inc_v
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros76150
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.790754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:40.838174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 76150
50.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 76150
50.8%
ValueCountFrequency (%)
0 76150
50.8%

MV_Traf_R_out_s_Cnt
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.005759636548
Minimum0
Maximum25.56022182
Zeros148067
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:40.898136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25.56022182
Range25.56022182
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2247110804
Coefficient of variation (CV)39.01480216
Kurtosis5935.085716
Mean0.005759636548
Median Absolute Deviation (MAD)0
Skewness67.96261182
Sum854.0792247
Variance0.05049506966
MonotonicityNot monotonic
2024-06-11T19:36:41.079109image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 148067
98.7%
1.480453014 99
 
0.1%
2.206948961 32
 
< 0.1%
2.921812056 19
 
< 0.1%
3.590290394 14
 
< 0.1%
4.786566308 6
 
< 0.1%
5.324077125 5
 
< 0.1%
4.210401996 5
 
< 0.1%
6.749901739 4
 
< 0.1%
8.687248223 3
 
< 0.1%
Other values (24) 33
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148067
98.7%
1.480453014 99
 
0.1%
2.206948961 32
 
< 0.1%
2.921812056 19
 
< 0.1%
3.590290394 14
 
< 0.1%
ValueCountFrequency (%)
25.56022182 1
< 0.1%
25.49022445 1
< 0.1%
24.9155146 1
< 0.1%
23.43157574 1
< 0.1%
22.20759244 1
< 0.1%

MV_Traf_innet_inc_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct46107
Distinct (%)31.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean23.67632679
Minimum0
Maximum91.13113805
Zeros13501
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.147011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.95320784
median24.20267679
Q335.28270602
95-th percentile48.61375853
Maximum91.13113805
Range91.13113805
Interquartile range (IQR)24.32949818

Descriptive statistics

Standard deviation15.42333262
Coefficient of variation (CV)0.6514242159
Kurtosis-0.8389233407
Mean23.67632679
Median Absolute Deviation (MAD)12.01767529
Skewness0.1033650094
Sum3510891.471
Variance237.879189
MonotonicityNot monotonic
2024-06-11T19:36:41.230561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13501
 
9.0%
1.043982701 79
 
0.1%
1.038461046 75
 
0.1%
1.06223072 71
 
< 0.1%
1.113213566 69
 
< 0.1%
1.068835007 69
 
< 0.1%
1.105297684 67
 
< 0.1%
1.090062766 67
 
< 0.1%
1.028336778 67
 
< 0.1%
1.07568182 64
 
< 0.1%
Other values (46097) 134158
89.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 13501
9.0%
1.000273218 22
 
< 0.1%
1.001075172 23
 
< 0.1%
1.00238048 27
 
< 0.1%
1.004165221 38
 
< 0.1%
ValueCountFrequency (%)
91.13113805 1
< 0.1%
89.57184284 1
< 0.1%
88.56290505 1
< 0.1%
86.64979858 1
< 0.1%
82.76683218 1
< 0.1%

MV_ot_inc_v
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros108550
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.287502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:41.333219image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 108550
72.4%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 108550
72.4%
ValueCountFrequency (%)
0 108550
72.4%

MV_ARPU_innet_out_v_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct2451
Distinct (%)1.7%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1.427719277
Minimum0
Maximum43.93276082
Zeros120817
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.395282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.181785673
Maximum43.93276082
Range43.93276082
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.806396506
Coefficient of variation (CV)2.66606788
Kurtosis13.10369834
Mean1.427719277
Median Absolute Deviation (MAD)0
Skewness3.37548149
Sum211712.2084
Variance14.48865436
MonotonicityNot monotonic
2024-06-11T19:36:41.478298image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120817
80.5%
5.750474527 4016
 
2.7%
5.750819605 3421
 
2.3%
4.497536115 1480
 
1.0%
1.00000001 1259
 
0.8%
8.921399697 1207
 
0.8%
8.921872006 1110
 
0.7%
1.335206418 914
 
0.6%
11.23860936 589
 
0.4%
7.165976416 565
 
0.4%
Other values (2441) 12909
 
8.6%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 120817
80.5%
1.00000001 1259
 
0.8%
1.00000004 299
 
0.2%
1.00000009 158
 
0.1%
1.00000016 77
 
0.1%
ValueCountFrequency (%)
43.93276082 1
< 0.1%
41.29719138 1
< 0.1%
38.40792164 1
< 0.1%
38.00896457 1
< 0.1%
37.0444776 1
< 0.1%

MV_ot_pstn_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct989
Distinct (%)0.9%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.2622202689
Minimum0
Maximum1.169513326
Zeros80176
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.549027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.000157511
95-th percentile1.006640557
Maximum1.169513326
Range1.169513326
Interquartile range (IQR)1.000157511

Descriptive statistics

Standard deviation0.4407968729
Coefficient of variation (CV)1.681017546
Kurtosis-0.8198858567
Mean0.2622202689
Median Absolute Deviation (MAD)0
Skewness1.086236143
Sum28464.01019
Variance0.1943018832
MonotonicityNot monotonic
2024-06-11T19:36:41.623209image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80176
53.5%
1.006640557 6111
 
4.1%
1.000250495 4094
 
2.7%
1.001331078 3788
 
2.5%
1.000215388 3134
 
2.1%
1.004318372 1192
 
0.8%
1.005317679 1191
 
0.8%
1.00019548 922
 
0.6%
1.002112908 887
 
0.6%
1.000678986 622
 
0.4%
Other values (979) 6433
 
4.3%
(Missing) 41450
27.6%
ValueCountFrequency (%)
0 80176
53.5%
1 1
 
< 0.1%
1 23
 
< 0.1%
1 3
 
< 0.1%
1 32
 
< 0.1%
ValueCountFrequency (%)
1.169513326 1
 
< 0.1%
1.151535721 2
 
< 0.1%
1.125194048 2
 
< 0.1%
1.114376758 1
 
< 0.1%
1.103593287 9
< 0.1%

MV_dou_data
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean8.752862718
Minimum0
Maximum13.01132535
Zeros30341
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.691164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.921812056
median12.1035869
Q313.01132535
95-th percentile13.01132535
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)10.08951329

Descriptive statistics

Standard deviation5.318883422
Coefficient of variation (CV)0.6076735799
Kurtosis-1.147038232
Mean8.752862718
Median Absolute Deviation (MAD)0.9077384503
Skewness-0.7914704847
Sum1297935.754
Variance28.29052086
MonotonicityNot monotonic
2024-06-11T19:36:41.757319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
13.01132535 53124
35.4%
0 30341
20.2%
12.79226812 9017
 
6.0%
12.56814363 5844
 
3.9%
12.33868121 4452
 
3.0%
12.1035869 3640
 
2.4%
1.480453014 3608
 
2.4%
11.86254065 3169
 
2.1%
11.61519305 2507
 
1.7%
2.206948961 2455
 
1.6%
Other values (22) 30130
20.1%
ValueCountFrequency (%)
0 30341
20.2%
1.480453014 3608
 
2.4%
2.206948961 2455
 
1.6%
2.921812056 1755
 
1.2%
3.590290394 1499
 
1.0%
ValueCountFrequency (%)
13.01132535 53124
35.4%
12.79226812 9017
 
6.0%
12.56814363 5844
 
3.9%
12.33868121 4452
 
3.0%
12.1035869 3640
 
2.4%

MV_dou_mn_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.1353935235
Minimum0
Maximum13.01132535
Zeros140861
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.820112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.480453014
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7286355444
Coefficient of variation (CV)5.381612985
Kurtosis74.83342487
Mean0.1353935235
Median Absolute Deviation (MAD)0
Skewness7.711060718
Sum20077.09943
Variance0.5309097565
MonotonicityNot monotonic
2024-06-11T19:36:41.887611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 140861
93.9%
1.480453014 3822
 
2.5%
2.206948961 1133
 
0.8%
2.921812056 655
 
0.4%
3.590290394 413
 
0.3%
4.210401996 300
 
0.2%
4.786566308 245
 
0.2%
5.324077125 171
 
0.1%
5.827795843 136
 
0.1%
6.749901739 101
 
0.1%
Other values (21) 450
 
0.3%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 140861
93.9%
1.480453014 3822
 
2.5%
2.206948961 1133
 
0.8%
2.921812056 655
 
0.4%
3.590290394 413
 
0.3%
ValueCountFrequency (%)
13.01132535 7
< 0.1%
12.79226812 3
< 0.1%
12.33868121 4
< 0.1%
12.1035869 3
< 0.1%
11.86254065 3
< 0.1%

MV_ot_s
Real number (ℝ)

MISSING  ZEROS 

Distinct218
Distinct (%)0.2%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.02227410136
Minimum0
Maximum1.939144374
Zeros106138
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:41.955708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.939144374
Range1.939144374
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1478079061
Coefficient of variation (CV)6.635863945
Kurtosis40.24028463
Mean0.02227410136
Median Absolute Deviation (MAD)0
Skewness6.492658804
Sum2417.853702
Variance0.02184717711
MonotonicityNot monotonic
2024-06-11T19:36:42.027693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106138
70.8%
1.000008876 1550
 
1.0%
1.000035398 179
 
0.1%
1.00007941 58
 
< 0.1%
1.000008876 37
 
< 0.1%
1.000002839 33
 
< 0.1%
1.117512979 29
 
< 0.1%
1.000140756 26
 
< 0.1%
1.000001681 24
 
< 0.1%
1.003590046 24
 
< 0.1%
Other values (208) 452
 
0.3%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 106138
70.8%
1.000000004 2
 
< 0.1%
1.000000007 1
 
< 0.1%
1.000000017 2
 
< 0.1%
1.000000026 1
 
< 0.1%
ValueCountFrequency (%)
1.939144374 1
 
< 0.1%
1.337501241 3
 
< 0.1%
1.117512979 29
< 0.1%
1.037709858 9
 
< 0.1%
1.004293077 1
 
< 0.1%

MV_ap_pstn_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct1129
Distinct (%)1.5%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0.983644977
Minimum0
Maximum2.454586819
Zeros2194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.103504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.000114094
Q11.000543808
median1.005524314
Q31.007251339
95-th percentile1.065847643
Maximum2.454586819
Range2.454586819
Interquartile range (IQR)0.006707531024

Descriptive statistics

Standard deviation0.1714513536
Coefficient of variation (CV)0.1743020679
Kurtosis28.34681089
Mean0.983644977
Median Absolute Deviation (MAD)0.004845327356
Skewness-5.395377002
Sum74904.565
Variance0.02939556664
MonotonicityNot monotonic
2024-06-11T19:36:42.179686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.005524314 9280
 
6.2%
1.000543808 9279
 
6.2%
1.007251339 5644
 
3.8%
1.065847643 5250
 
3.5%
1.006640557 5060
 
3.4%
1.012253167 3703
 
2.5%
1.023198722 3258
 
2.2%
1.019511964 2912
 
1.9%
1.006191369 2591
 
1.7%
1.000250495 2448
 
1.6%
Other values (1119) 26725
 
17.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 2194
1.5%
1 68
 
< 0.1%
1 23
 
< 0.1%
1 14
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
2.454586819 1
< 0.1%
1.8122603 2
< 0.1%
1.705465297 1
< 0.1%
1.66740991 1
< 0.1%
1.600311561 1
< 0.1%

MV_ARPU
Real number (ℝ)

ZEROS 

Distinct28513
Distinct (%)19.2%
Missing1117
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean17.55927681
Minimum0
Maximum73.36844356
Zeros30228
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.249388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.513443341
median21.74906374
Q324.40298039
95-th percentile30.72036641
Maximum73.36844356
Range73.36844356
Interquartile range (IQR)18.88953705

Descriptive statistics

Standard deviation11.14312786
Coefficient of variation (CV)0.6346006149
Kurtosis-0.7341335552
Mean17.55927681
Median Absolute Deviation (MAD)4.720153562
Skewness-0.4545180307
Sum2614277.81
Variance124.1692986
MonotonicityNot monotonic
2024-06-11T19:36:42.324065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30228
 
20.2%
21.74906374 7222
 
4.8%
22.11876484 6061
 
4.0%
20.13969538 4479
 
3.0%
22.47711246 4138
 
2.8%
29.33036315 3286
 
2.2%
23.16295481 3102
 
2.1%
25.57253549 2568
 
1.7%
15.3436809 2360
 
1.6%
24.1232528 2178
 
1.5%
Other values (28503) 83261
55.5%
ValueCountFrequency (%)
0 30228
20.2%
1.00000001 57
 
< 0.1%
1.00000004 30
 
< 0.1%
1.00000009 8
 
< 0.1%
1.00000016 5
 
< 0.1%
ValueCountFrequency (%)
73.36844356 1
< 0.1%
65.60268424 1
< 0.1%
62.76923776 1
< 0.1%
62.16491434 1
< 0.1%
61.91240754 1
< 0.1%

MV_FRAUD_BLOCK
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing149998
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.383485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosisnan
Mean1
Median Absolute Deviation (MAD)0
Skewnessnan
Sum2
Variance0
MonotonicityIncreasing
2024-06-11T19:36:42.429500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 2
 
< 0.1%
(Missing) 149998
> 99.9%
ValueCountFrequency (%)
1 2
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%

MV_dou_omo_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean4.45900846
Minimum0
Maximum13.01132535
Zeros41053
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.481916image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.590290394
Q37.964623589
95-th percentile11.61519305
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)7.964623589

Descriptive statistics

Standard deviation4.039536552
Coefficient of variation (CV)0.9059270885
Kurtosis-1.067984707
Mean4.45900846
Median Absolute Deviation (MAD)3.590290394
Skewness0.4776281434
Sum661212.9875
Variance16.31785556
MonotonicityNot monotonic
2024-06-11T19:36:42.542547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 41053
27.4%
1.480453014 13158
 
8.8%
2.206948961 9182
 
6.1%
2.921812056 7446
 
5.0%
3.590290394 6291
 
4.2%
4.210401996 5524
 
3.7%
4.786566308 4988
 
3.3%
5.324077125 4666
 
3.1%
5.827795843 4373
 
2.9%
6.30189811 3949
 
2.6%
Other values (22) 47657
31.8%
ValueCountFrequency (%)
0 41053
27.4%
1.480453014 13158
 
8.8%
2.206948961 9182
 
6.1%
2.921812056 7446
 
5.0%
3.590290394 6291
 
4.2%
ValueCountFrequency (%)
13.01132535 1017
0.7%
12.79226812 1078
0.7%
12.56814363 1170
0.8%
12.33868121 1262
0.8%
12.1035869 1353
0.9%

MV_ARPU_inc_s_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1.427370545 × 10-5
Minimum0
Maximum1.105751526
Zeros148285
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.596625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.105751526
Range1.105751526
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.003890522049
Coefficient of variation (CV)272.5656672
Kurtosis74734.802
Mean1.427370545 × 10-5
Median Absolute Deviation (MAD)0
Skewness273.1084681
Sum2.11660496
Variance1.513616182 × 10-5
MonotonicityNot monotonic
2024-06-11T19:36:42.643816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 148285
98.9%
1.105751526 1
 
< 0.1%
1.010853435 1
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148285
98.9%
1.010853435 1
 
< 0.1%
1.105751526 1
 
< 0.1%
ValueCountFrequency (%)
1.105751526 1
 
< 0.1%
1.010853435 1
 
< 0.1%
0 148285
98.9%

MV_ap_4G_d
Real number (ℝ)

MISSING 

Distinct1370
Distinct (%)1.8%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean22.23424172
Minimum0
Maximum51.83581866
Zeros847
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.706714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.48967017
Q121.30983184
median21.8440601
Q325.01311719
95-th percentile29.20016854
Maximum51.83581866
Range51.83581866
Interquartile range (IQR)3.703285347

Descriptive statistics

Standard deviation5.317519158
Coefficient of variation (CV)0.2391590064
Kurtosis4.658377316
Mean22.23424172
Median Absolute Deviation (MAD)1.904441777
Skewness-1.153521582
Sum1693137.507
Variance28.27601
MonotonicityNot monotonic
2024-06-11T19:36:42.779250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.30983184 9182
 
6.1%
29.20016854 9035
 
6.0%
22.74713999 5543
 
3.7%
18.90881863 5206
 
3.5%
21.66858662 4950
 
3.3%
21.91993962 3235
 
2.2%
21.8440601 2888
 
1.9%
21.55449686 2448
 
1.6%
25.34128146 2333
 
1.6%
14.48967017 2193
 
1.5%
Other values (1360) 29137
 
19.4%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 847
0.6%
1.000014568 87
 
0.1%
1.000045222 24
 
< 0.1%
1.000049323 8
 
< 0.1%
1.000054671 7
 
< 0.1%
ValueCountFrequency (%)
51.83581866 1
< 0.1%
51.38185052 1
< 0.1%
49.35843235 1
< 0.1%
48.82913536 1
< 0.1%
46.82530464 1
< 0.1%

MV_ot_innet_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct982
Distinct (%)0.9%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.2658171873
Minimum0
Maximum2.135480382
Zeros80156
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:42.956791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.0003655
95-th percentile1.035014673
Maximum2.135480382
Range2.135480382
Interquartile range (IQR)1.0003655

Descriptive statistics

Standard deviation0.4468848194
Coefficient of variation (CV)1.681173531
Kurtosis-0.7981761754
Mean0.2658171873
Median Absolute Deviation (MAD)0
Skewness1.090182579
Sum28854.45568
Variance0.1997060419
MonotonicityNot monotonic
2024-06-11T19:36:43.023056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80156
53.4%
1.035014673 6108
 
4.1%
1.000585811 4094
 
2.7%
1.007244578 3788
 
2.5%
1.0003655 3134
 
2.1%
1.021112556 1195
 
0.8%
1.023224104 1192
 
0.8%
1.001739746 923
 
0.6%
1.015874294 887
 
0.6%
1.002417761 622
 
0.4%
Other values (972) 6451
 
4.3%
(Missing) 41450
27.6%
ValueCountFrequency (%)
0 80156
53.4%
1 23
 
< 0.1%
1 1
 
< 0.1%
1 3
 
< 0.1%
1 32
 
< 0.1%
ValueCountFrequency (%)
2.135480382 2
 
< 0.1%
1.858145487 1
 
< 0.1%
1.852690228 9
< 0.1%
1.646549811 1
 
< 0.1%
1.500528181 2
 
< 0.1%

MV_dou_Roam
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.05494711383
Minimum0
Maximum13.01132535
Zeros146626
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.084858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6311950846
Coefficient of variation (CV)11.48732009
Kurtosis212.6729392
Mean0.05494711383
Median Absolute Deviation (MAD)0
Skewness13.95409379
Sum8147.942669
Variance0.3984072348
MonotonicityNot monotonic
2024-06-11T19:36:43.151056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 146626
97.8%
1.480453014 459
 
0.3%
2.206948961 181
 
0.1%
2.921812056 105
 
0.1%
3.590290394 102
 
0.1%
4.210401996 77
 
0.1%
4.786566308 73
 
< 0.1%
5.324077125 55
 
< 0.1%
5.827795843 46
 
< 0.1%
7.578965206 44
 
< 0.1%
Other values (22) 519
 
0.3%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 146626
97.8%
1.480453014 459
 
0.3%
2.206948961 181
 
0.1%
2.921812056 105
 
0.1%
3.590290394 102
 
0.1%
ValueCountFrequency (%)
13.01132535 7
 
< 0.1%
12.79226812 5
 
< 0.1%
12.56814363 8
< 0.1%
12.33868121 12
< 0.1%
12.1035869 18
< 0.1%

MV_ap_mn_out_v
Real number (ℝ)

MISSING  ZEROS 

Distinct541
Distinct (%)0.7%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0.5412591876
Minimum0
Maximum6.035004641
Zeros40488
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.217173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.137254243
95-th percentile1.241208978
Maximum6.035004641
Range6.035004641
Interquartile range (IQR)1.137254243

Descriptive statistics

Standard deviation0.5830752317
Coefficient of variation (CV)1.077256969
Kurtosis-1.617044661
Mean0.5412591876
Median Absolute Deviation (MAD)0
Skewness0.2180627446
Sum41216.88713
Variance0.3399767259
MonotonicityNot monotonic
2024-06-11T19:36:43.286092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40488
27.0%
1.038041244 9340
 
6.2%
1.229740181 5645
 
3.8%
1.228104906 5060
 
3.4%
1.278004512 2591
 
1.7%
1.078403842 2407
 
1.6%
1.158896555 1740
 
1.2%
1.108842298 1008
 
0.7%
1.224944945 677
 
0.5%
1.196417209 674
 
0.4%
Other values (531) 6520
 
4.3%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 40488
27.0%
1 68
 
< 0.1%
1.000000001 5
 
< 0.1%
1.000000001 49
 
< 0.1%
1.000000002 10
 
< 0.1%
ValueCountFrequency (%)
6.035004641 2
< 0.1%
3.696307049 1
< 0.1%
3.388216517 1
< 0.1%
3.016588388 2
< 0.1%
2.973535089 1
< 0.1%

MV_Traf_omo_out_s_Cnt
Real number (ℝ)

MISSING  ZEROS 

Distinct181
Distinct (%)0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.3427949699
Minimum0
Maximum83.76464387
Zeros132854
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.354503image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.206948961
Maximum83.76464387
Range83.76464387
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.583982962
Coefficient of variation (CV)4.62078823
Kurtosis243.7301894
Mean0.3427949699
Median Absolute Deviation (MAD)0
Skewness11.61315558
Sum50832.03771
Variance2.509002025
MonotonicityNot monotonic
2024-06-11T19:36:43.426413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 132854
88.6%
1.480453014 6868
 
4.6%
2.206948961 3035
 
2.0%
2.921812056 1442
 
1.0%
3.590290394 932
 
0.6%
4.210401996 555
 
0.4%
4.786566308 424
 
0.3%
5.324077125 311
 
0.2%
5.827795843 236
 
0.2%
6.30189811 176
 
0.1%
Other values (171) 1454
 
1.0%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 132854
88.6%
1.480453014 6868
 
4.6%
2.206948961 3035
 
2.0%
2.921812056 1442
 
1.0%
3.590290394 932
 
0.6%
ValueCountFrequency (%)
83.76464387 1
< 0.1%
68.01364113 1
< 0.1%
59.85692642 1
< 0.1%
58.93261408 1
< 0.1%
49.27382951 1
< 0.1%

MV_dou_2G_d
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean3.559971269
Minimum0
Maximum13.01132535
Zeros58746
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.494264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.206948961
Q36.30189811
95-th percentile11.86254065
Maximum13.01132535
Range13.01132535
Interquartile range (IQR)6.30189811

Descriptive statistics

Standard deviation3.994856176
Coefficient of variation (CV)1.122159667
Kurtosis-0.4433279093
Mean3.559971269
Median Absolute Deviation (MAD)2.206948961
Skewness0.8885465875
Sum527897.4596
Variance15.95887586
MonotonicityNot monotonic
2024-06-11T19:36:43.561864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 58746
39.2%
1.480453014 10924
 
7.3%
2.206948961 10257
 
6.8%
2.921812056 6893
 
4.6%
3.590290394 6164
 
4.1%
4.210401996 5070
 
3.4%
4.786566308 4482
 
3.0%
5.324077125 3940
 
2.6%
5.827795843 3538
 
2.4%
6.30189811 3133
 
2.1%
Other values (22) 35140
23.4%
ValueCountFrequency (%)
0 58746
39.2%
1.480453014 10924
 
7.3%
2.206948961 10257
 
6.8%
2.921812056 6893
 
4.6%
3.590290394 6164
 
4.1%
ValueCountFrequency (%)
13.01132535 2575
1.7%
12.79226812 1214
0.8%
12.56814363 1094
0.7%
12.33868121 1020
 
0.7%
12.1035869 1002
 
0.7%

MV_ap_Cont_v
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing73850
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros76150
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.618740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-06-11T19:36:43.669215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 76150
50.8%
(Missing) 73850
49.2%
ValueCountFrequency (%)
0 76150
50.8%
ValueCountFrequency (%)
0 76150
50.8%

MV_Traf_pstn_inc_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct2152
Distinct (%)1.5%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.7298620387
Minimum0
Maximum46.49318675
Zeros107959
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.731316image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.028336778
95-th percentile3.812652875
Maximum46.49318675
Range46.49318675
Interquartile range (IQR)1.028336778

Descriptive statistics

Standard deviation1.96164537
Coefficient of variation (CV)2.687693381
Kurtosis50.6868073
Mean0.7298620387
Median Absolute Deviation (MAD)0
Skewness5.655368065
Sum108229.0521
Variance3.848052559
MonotonicityNot monotonic
2024-06-11T19:36:43.799900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107959
72.0%
1.000273218 674
 
0.4%
1.049793044 652
 
0.4%
1.06223072 642
 
0.4%
1.055879654 636
 
0.4%
1.068835007 616
 
0.4%
1.07568182 606
 
0.4%
1.082760975 585
 
0.4%
1.038461046 530
 
0.4%
1.097577944 528
 
0.4%
Other values (2142) 34859
 
23.2%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 107959
72.0%
1.000273218 674
 
0.4%
1.001075172 223
 
0.1%
1.00238048 171
 
0.1%
1.004165221 197
 
0.1%
ValueCountFrequency (%)
46.49318675 1
< 0.1%
45.35558401 1
< 0.1%
42.69764351 1
< 0.1%
42.66789678 1
< 0.1%
41.84910782 1
< 0.1%

MV_ARPU_R_inc_v_Traf
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.01449112291
Minimum0
Maximum44.04494242
Zeros148134
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.863405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44.04494242
Range44.04494242
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.503651054
Coefficient of variation (CV)34.75583344
Kurtosis2189.693772
Mean0.01449112291
Median Absolute Deviation (MAD)0
Skewness42.86983541
Sum2148.845142
Variance0.2536643842
MonotonicityNot monotonic
2024-06-11T19:36:43.926997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 148134
98.8%
7.485597097 46
 
< 0.1%
12.21033147 18
 
< 0.1%
11.23918336 17
 
< 0.1%
15.9956774 12
 
< 0.1%
10.1546768 8
 
< 0.1%
13.89998703 7
 
< 0.1%
17.18935823 4
 
< 0.1%
18.76280413 3
 
< 0.1%
20.56366678 2
 
< 0.1%
Other values (28) 36
 
< 0.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 148134
98.8%
7.485597097 46
 
< 0.1%
10.1546768 8
 
< 0.1%
11.23918336 17
 
< 0.1%
12.21033147 18
 
< 0.1%
ValueCountFrequency (%)
44.04494242 1
< 0.1%
34.64394479 1
< 0.1%
34.50557733 1
< 0.1%
33.64527163 1
< 0.1%
33.64526409 1
< 0.1%

MV_ARPU_2G_d_Traf
Real number (ℝ)

MISSING  ZEROS 

Distinct180
Distinct (%)0.1%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2361554876
Minimum0
Maximum34.6428107
Zeros143210
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:43.993206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum34.6428107
Range34.6428107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.438462549
Coefficient of variation (CV)6.091167153
Kurtosis78.6127763
Mean0.2361554876
Median Absolute Deviation (MAD)0
Skewness7.956725625
Sum35018.78879
Variance2.069174506
MonotonicityNot monotonic
2024-06-11T19:36:44.067890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143210
95.5%
4.497536115 2672
 
1.8%
7.165976416 738
 
0.5%
9.181785673 399
 
0.3%
10.81975628 182
 
0.1%
12.20938997 113
 
0.1%
5.750474527 111
 
0.1%
13.42201696 78
 
0.1%
3.539668309 77
 
0.1%
4.497939569 67
 
< 0.1%
Other values (170) 640
 
0.4%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 143210
95.5%
1.14300682 1
 
< 0.1%
1.143421545 1
 
< 0.1%
1.333714426 1
 
< 0.1%
1.333779266 16
 
< 0.1%
ValueCountFrequency (%)
34.6428107 1
< 0.1%
31.87841964 1
< 0.1%
27.44700735 1
< 0.1%
26.6201176 1
< 0.1%
26.41681389 1
< 0.1%

MV_ot_Other
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct133
Distinct (%)0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean0.08369209362
Minimum0
Maximum46.34717964
Zeros107412
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.140743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46.34717964
Range46.34717964
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.337077936
Coefficient of variation (CV)15.97615591
Kurtosis458.9458267
Mean0.08369209362
Median Absolute Deviation (MAD)0
Skewness20.82167738
Sum9084.776762
Variance1.787777408
MonotonicityNot monotonic
2024-06-11T19:36:44.209098image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107412
71.6%
2.463678086 335
 
0.2%
1.169725207 214
 
0.1%
28.48895687 105
 
0.1%
4.032763741 66
 
< 0.1%
26.62106674 42
 
< 0.1%
1.494067668 37
 
< 0.1%
28.91644607 29
 
< 0.1%
4.032824783 28
 
< 0.1%
1.861150816 15
 
< 0.1%
Other values (123) 267
 
0.2%
(Missing) 41450
 
27.6%
ValueCountFrequency (%)
0 107412
71.6%
1.169725207 214
 
0.1%
1.494067668 37
 
< 0.1%
1.861150816 15
 
< 0.1%
2.235641939 5
 
< 0.1%
ValueCountFrequency (%)
46.34717964 1
 
< 0.1%
42.19048027 4
< 0.1%
41.17118624 1
 
< 0.1%
38.48228637 1
 
< 0.1%
34.07919293 1
 
< 0.1%

MV_Traf_ACCA_out_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct1934
Distinct (%)1.3%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.5731819558
Minimum0
Maximum35.7974694
Zeros120276
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.275110image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.707500272
Maximum35.7974694
Range35.7974694
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7703197
Coefficient of variation (CV)3.088582399
Kurtosis34.87562202
Mean0.5731819558
Median Absolute Deviation (MAD)0
Skewness5.030399569
Sum84995.43268
Variance3.134031841
MonotonicityNot monotonic
2024-06-11T19:36:44.348083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120276
80.2%
1.000273218 1038
 
0.7%
1.001075172 755
 
0.5%
1.004165221 742
 
0.5%
1.00238048 728
 
0.5%
1.006406835 670
 
0.4%
1.00908403 563
 
0.4%
1.012176694 516
 
0.3%
1.015665812 447
 
0.3%
1.019533401 402
 
0.3%
Other values (1924) 22150
 
14.8%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 120276
80.2%
1.000273218 1038
 
0.7%
1.001075172 755
 
0.5%
1.00238048 728
 
0.5%
1.004165221 742
 
0.5%
ValueCountFrequency (%)
35.7974694 1
< 0.1%
34.40569122 1
< 0.1%
33.92798646 1
< 0.1%
32.52085756 1
< 0.1%
32.28345257 1
< 0.1%

MV_Traf_mn_out_v_Min
Real number (ℝ)

MISSING  ZEROS 

Distinct2003
Distinct (%)1.4%
Missing1713
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.2528071473
Minimum0
Maximum72.1042268
Zeros140861
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.418758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.000273218
Maximum72.1042268
Range72.1042268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721167751
Coefficient of variation (CV)6.80822425
Kurtosis171.7571878
Mean0.2528071473
Median Absolute Deviation (MAD)0
Skewness10.81523804
Sum37488.01345
Variance2.962418426
MonotonicityNot monotonic
2024-06-11T19:36:44.491245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 140861
93.9%
1.004165221 175
 
0.1%
1.006406835 161
 
0.1%
1.012176694 157
 
0.1%
1.00908403 143
 
0.1%
1.015665812 131
 
0.1%
1.00238048 131
 
0.1%
1.023762432 106
 
0.1%
1.000273218 103
 
0.1%
1.019533401 97
 
0.1%
Other values (1993) 6222
 
4.1%
(Missing) 1713
 
1.1%
ValueCountFrequency (%)
0 140861
93.9%
1.000273218 103
 
0.1%
1.001075172 91
 
0.1%
1.00238048 131
 
0.1%
1.004165221 175
 
0.1%
ValueCountFrequency (%)
72.1042268 1
< 0.1%
65.3358963 1
< 0.1%
54.39112112 1
< 0.1%
53.02250946 1
< 0.1%
51.0656754 1
< 0.1%

MV_DOU_OT
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)< 0.1%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean1.84905715
Minimum1.480453014
Maximum13.01132535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.556087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median1.480453014
Q32.206948961
95-th percentile2.921812056
Maximum13.01132535
Range11.53087233
Interquartile range (IQR)0.7264959469

Descriptive statistics

Standard deviation0.6641529974
Coefficient of variation (CV)0.3591846783
Kurtosis24.98855063
Mean1.84905715
Median Absolute Deviation (MAD)0
Skewness3.511035818
Sum200715.1536
Variance0.441099204
MonotonicityNot monotonic
2024-06-11T19:36:44.730975image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.480453014 71328
47.6%
2.206948961 25947
 
17.3%
2.921812056 7438
 
5.0%
3.590290394 2252
 
1.5%
4.210401996 766
 
0.5%
4.786566308 343
 
0.2%
5.324077125 146
 
0.1%
5.827795843 91
 
0.1%
6.30189811 65
 
< 0.1%
6.749901739 31
 
< 0.1%
Other values (19) 143
 
0.1%
(Missing) 41450
27.6%
ValueCountFrequency (%)
1.480453014 71328
47.6%
2.206948961 25947
 
17.3%
2.921812056 7438
 
5.0%
3.590290394 2252
 
1.5%
4.210401996 766
 
0.5%
ValueCountFrequency (%)
13.01132535 1
 
< 0.1%
12.79226812 2
 
< 0.1%
12.33868121 5
< 0.1%
12.1035869 1
 
< 0.1%
11.86254065 3
< 0.1%

MV_SERV_Y_WO_AF
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing140970
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.780520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum9030
Variance0
MonotonicityIncreasing
2024-06-11T19:36:44.822632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 9030
 
6.0%
(Missing) 140970
94.0%
ValueCountFrequency (%)
1 9030
6.0%
ValueCountFrequency (%)
1 9030
6.0%

MV_Migr_To
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing91
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.02937782255
Minimum0
Maximum1
Zeros145505
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.866449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1688637211
Coefficient of variation (CV)5.747999901
Kurtosis29.07055909
Mean0.02937782255
Median Absolute Deviation (MAD)0
Skewness5.574062365
Sum4404
Variance0.0285149563
MonotonicityNot monotonic
2024-06-11T19:36:44.914278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 145505
97.0%
1 4404
 
2.9%
(Missing) 91
 
0.1%
ValueCountFrequency (%)
0 145505
97.0%
1 4404
 
2.9%
ValueCountFrequency (%)
1 4404
 
2.9%
0 145505
97.0%

MV_SERV_RLH
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)3.0%
Missing149967
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:44.959222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum33
Variance0
MonotonicityIncreasing
2024-06-11T19:36:45.003781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 33
 
< 0.1%
(Missing) 149967
> 99.9%
ValueCountFrequency (%)
1 33
< 0.1%
ValueCountFrequency (%)
1 33
< 0.1%

MV_DOU_PPM_VF
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)0.1%
Missing72366
Missing (%)48.2%
Infinite0
Infinite (%)0.0%
Mean15.49513969
Minimum1.480453014
Maximum18.16556536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:45.058483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile13.01132535
Q113.01132535
median16.45925281
Q318.16556536
95-th percentile18.16556536
Maximum18.16556536
Range16.68511235
Interquartile range (IQR)5.154240013

Descriptive statistics

Standard deviation2.850583004
Coefficient of variation (CV)0.1839662669
Kurtosis0.8055772799
Mean15.49513969
Median Absolute Deviation (MAD)1.706312555
Skewness-0.7392171263
Sum1202949.675
Variance8.12582346
MonotonicityNot monotonic
2024-06-11T19:36:45.125196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.16556536 36486
24.3%
13.01132535 32861
21.9%
15.14662631 304
 
0.2%
14.97017418 246
 
0.2%
15.32009119 226
 
0.2%
16.45925281 225
 
0.1%
17.05871926 221
 
0.1%
15.49067931 219
 
0.1%
16.91199372 217
 
0.1%
17.62631161 213
 
0.1%
Other values (52) 6416
 
4.3%
(Missing) 72366
48.2%
ValueCountFrequency (%)
1.480453014 72
< 0.1%
2.206948961 80
0.1%
2.921812056 78
0.1%
3.590290394 92
0.1%
4.210401996 85
0.1%
ValueCountFrequency (%)
18.16556536 36486
24.3%
18.03323823 176
 
0.1%
17.89928393 182
 
0.1%
17.76365739 189
 
0.1%
17.62631161 213
 
0.1%

MV_DOU_Neg_Bal
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)8.8%
Missing149887
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.971757513
Minimum1.480453014
Maximum13.01132535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:45.180192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.480453014
5-th percentile1.480453014
Q11.480453014
median2.206948961
Q34.210401996
95-th percentile5.324077125
Maximum13.01132535
Range11.53087233
Interquartile range (IQR)2.729948982

Descriptive statistics

Standard deviation1.699819602
Coefficient of variation (CV)0.5719913535
Kurtosis10.01306304
Mean2.971757513
Median Absolute Deviation (MAD)0.7264959469
Skewness2.307003351
Sum335.8085989
Variance2.889386679
MonotonicityNot monotonic
2024-06-11T19:36:45.229934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.480453014 36
 
< 0.1%
2.206948961 21
 
< 0.1%
2.921812056 18
 
< 0.1%
4.786566308 11
 
< 0.1%
4.210401996 10
 
< 0.1%
3.590290394 8
 
< 0.1%
5.324077125 6
 
< 0.1%
7.174761058 1
 
< 0.1%
13.01132535 1
 
< 0.1%
7.964623589 1
 
< 0.1%
(Missing) 149887
99.9%
ValueCountFrequency (%)
1.480453014 36
< 0.1%
2.206948961 21
< 0.1%
2.921812056 18
< 0.1%
3.590290394 8
 
< 0.1%
4.210401996 10
 
< 0.1%
ValueCountFrequency (%)
13.01132535 1
 
< 0.1%
7.964623589 1
 
< 0.1%
7.174761058 1
 
< 0.1%
5.324077125 6
< 0.1%
4.786566308 11
< 0.1%

MV_ot_total
Real number (ℝ)

MISSING  ZEROS 

Distinct1295
Distinct (%)1.2%
Missing41450
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean6.290760847
Minimum0
Maximum61.53413636
Zeros77582
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:45.287755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.73954218
95-th percentile25.57253549
Maximum61.53413636
Range61.53413636
Interquartile range (IQR)17.73954218

Descriptive statistics

Standard deviation10.61242772
Coefficient of variation (CV)1.686986357
Kurtosis0.831989574
Mean6.290760847
Median Absolute Deviation (MAD)0
Skewness1.371242976
Sum682862.0899
Variance112.6236221
MonotonicityNot monotonic
2024-06-11T19:36:45.353494image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77582
51.7%
22.11876484 6753
 
4.5%
20.13969538 4703
 
3.1%
21.74906374 4026
 
2.7%
25.57253549 3699
 
2.5%
23.81164265 1184
 
0.8%
9.681862319 855
 
0.6%
23.81157824 587
 
0.4%
25.01317555 389
 
0.3%
17.73954218 325
 
0.2%
Other values (1285) 8447
 
5.6%
(Missing) 41450
27.6%
ValueCountFrequency (%)
0 77582
51.7%
1.000034606 2
 
< 0.1%
1.000055831 8
 
< 0.1%
1.000060369 7
 
< 0.1%
1.000095107 86
 
0.1%
ValueCountFrequency (%)
61.53413636 1
 
< 0.1%
60.53783578 6
< 0.1%
60.1010169 4
< 0.1%
58.72162702 1
 
< 0.1%
58.66173151 1
 
< 0.1%

target
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06390666667
Minimum0
Maximum1
Zeros140414
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-11T19:36:45.409612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2445874147
Coefficient of variation (CV)3.827259776
Kurtosis10.7164865
Mean0.06390666667
Median Absolute Deviation (MAD)0
Skewness3.565998263
Sum9586
Variance0.05982300344
MonotonicityNot monotonic
2024-06-11T19:36:45.460827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 140414
93.6%
1 9586
 
6.4%
ValueCountFrequency (%)
0 140414
93.6%
1 9586
 
6.4%
ValueCountFrequency (%)
1 9586
 
6.4%
0 140414
93.6%

abon_id
Real number (ℝ)

UNIQUE 

Distinct150000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78974430.45
Minimum1545052
Maximum130754935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size586.1 KiB
2024-06-11T19:36:45.527846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1545052
5-th percentile10806002.7
Q137003223
median88375825
Q3123465113.8
95-th percentile129207587.2
Maximum130754935
Range129209883
Interquartile range (IQR)86461890.75

Descriptive statistics

Standard deviation42931457.78
Coefficient of variation (CV)0.5436121227
Kurtosis-1.41576267
Mean78974430.45
Median Absolute Deviation (MAD)37878035.5
Skewness-0.2972022124
Sum1.184616457 × 1013
Variance1.843110067 × 1015
MonotonicityStrictly increasing
2024-06-11T19:36:45.622300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1545052 1
 
< 0.1%
113831819 1
 
< 0.1%
113816878 1
 
< 0.1%
113816960 1
 
< 0.1%
113818219 1
 
< 0.1%
113818285 1
 
< 0.1%
113819591 1
 
< 0.1%
113819637 1
 
< 0.1%
113820135 1
 
< 0.1%
113822672 1
 
< 0.1%
Other values (149990) 149990
> 99.9%
ValueCountFrequency (%)
1545052 1
< 0.1%
1545235 1
< 0.1%
1549358 1
< 0.1%
1549591 1
< 0.1%
1558772 1
< 0.1%
ValueCountFrequency (%)
130754935 1
< 0.1%
130754629 1
< 0.1%
130754333 1
< 0.1%
130753819 1
< 0.1%
130753784 1
< 0.1%